494 DATA SCIENTIST JOBS
- Role Title: Data ScientistLocation of job: HosurEducational Qualification: B. Tech / MBAExperience:2- 4 Years Objective of role:We are looking for a Data Scientist for our Parts business. This person’s primary responsibility will be to coordinate with all stakeholders on functional area to analyse the problem and solving various aspects of Tech COE & Digital Manufacturing business. Stakeholder management to understand the Business Pain points and Improvement areas and implement the solution to improve the Business efficiency and productivity. This role will be required to proactively engage with Business, Technology Partners, Data Engineers, Data science and many more cross functional teams.We are seeking a highly motivated and experienced Computer Vision Expert to join our growing team. In this role, you will play a key role in developing and implementing cutting-edge computer vision solutions for Manufacturing and Supply Chain as an ICRoles and Responsibilities:Design, develop, and implement robust computer vision algorithms for tasks such as object detection, recognition, tracking, segmentation, and pose estimation.Conduct research and stay up to date on the latest advancements in computer vision techniques, including deep learning architectures (CNNs, RNNs, etc.).Develop and train deep learning models for various computer vision tasks using frameworks like TensorFlow, PyTorch, or similar.Preprocess and prepare large datasets for training and evaluation of computer vision models.Integrate developed algorithms into existing software systems and ensure efficient performance.Experience with hardware platforms like GPUs or TPUs for efficient model training and inference.Experience with deploying computer vision models on embedded systems or cloud platforms.Experience with cloud computing platforms (e.g., AWS, GCP) for deploying and scaling vision models.Evaluate and optimize the performance of computer vision models, addressing issues like accuracy, speed, and resource efficiency.Collaborate with cross-functional teams (engineering, research, product) to understand requirements, define solutions, and deliver impactful results.Document developed algorithms and solutions effectively for internal knowledge sharing and future reference.May contribute to writing proposals, research papers, and presentations related to computer vision projects.Prepare technical documentation and presentations to clearly communicate technical concepts and findings.Experience in Video and Image Labelling/AnnotationsExperience in AGILE Environment with good exposure to JIRA and GitHub.Mandatory Skills: Classification:2-5 years of experience in developing and implementing computer vision algorithms.Proven expertise in deep learning architectures, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).In-depth expertise in deep learning architectures and frameworks (TensorFlow, PyTorch, Caffe2 etc.).Solid experience with image processing techniques, machine learning algorithms, and optimization methods.Experience with relevant programming languages (Python, C++, etc.) and libraries (OpenCV, scikit-learn, etc.).Excellent problem-solving skills, analytical thinking, and a strong understanding of mathematical concepts.Proven ability to work independently and manage multiple projects effectively.Excellent communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.Bonus Points:Experience with specific computer vision applications relevant to our company's domain.Strong publication record in top computer vision conferences and journals.Education Qualification:BE/ME in Any Engineering, or a related field (or equivalent experience) with a strong focus on computer vision.hosur
Data Scientist
At Decathlon Sports India, we are looking for young minds who have a passion for sport and are eager to develop data science solutions from the ground up. About our Team: Our AI team is a dynamic group of people dedicated to leveraging the power of data to drive success across various departments such as E-Commerce, Retail, Logistics, Product, Marketing, User Happiness, Sustainability etc. As a valued member of this team, you will be involved in the entire lifecycle of projects including the scoping of a problem, planning milestones and deliverables, identifying success criteria, and will have complete ownership of execution and delivery, ensuring your contributions span the full spectrum of our data initiatives. Your Mission, Should You Accept It:Utilize statistical and machine learning techniques to analyze complex datasets and derive actionable insightsDevelop and deploy predictive models and algorithms to support business decision-making.Collaborate with stakeholders to define data requirements and identify opportunities for data-driven solutions.Conduct exploratory data analysis to uncover patterns, trends, and opportunities for optimization.Keep abreast of advancements in data science, AI, and industry-specific tools to enhance analytical capabilities.? Desired Qualifications :2 - 5 years of experience in handling data science projects. Only relevant and hands-on experience will be considered. Experience in E-commerce or Retail is a strong plus.Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.Passion for data with strong analytical mindset and focus on drilling data for commercial insightExpert level knowledge in Python: Ability to work efficiently at scale with large data setsIntermediate or Expert at using SQL for querying and manipulating data. Experience with any large cloud database and familiarity with distributed computing e.g. leverage Spark for large jobs.Understanding of Data Lake systems, preferably DatabricksHands-on Orchestration Tools like Apache Airflow.Understanding of Software Engineering best practices.Proficiency in code management / version control tools such as GIT, DevOpsExperience working in cloud computing AWS services (S3, Redshift, Aurora, Sagemaker) or GCP.Experience in deploying machine-learned models in production environments.Experience with Neural Networks / Deep Learning a plus. Job Location: Decathlon Anubhava, North Bangalore - 562157bangaloreData Scientist
Job Responsibilities:As a part of the data science team of Course5’s Advanced analytics and Applied AI division, we are looking for a Data Scientist who is diligent, detail-driven, and ambitious to provide the SME expertise, design solutions and best practices to lead the projects for our partners across the globe for all AI implementations.This position will require a strong background and working experience in developing scalable, sustainable and on prem agnostic data marts/lakes to enable effective deployment of AI algorithms developed to solve custom problems in the partner ecosystems for sandboxes as well as for the production deployments for continuous modeling, testing, improvement and deployment.This role expects you to be a self-starter and ability to handle ambiguity with respect to the expectations, objective, data and would require discrete and constant attention to details. You will be leading and delivering the projects and are expected to have experience in application agile project management principles. You should be organized and have the ability to work on multiple projects, streams of work and stakeholders.You'll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.Apply domain expertise in technology to develop data-driven solutions that address complex challenges in the industry.Collaborate with cross-functional teams to identifybusiness problems and opportunities where data sciencecan provide valuableinsights and solutions.Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency in creating efficient and well-documented code.Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more.Hands-on experience in deep learning techniques related to computer vision and/or Natural Language Processing (NLP).Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into production systems and maintaining their lifecycle.Demonstrate an intermediate level of proficiency in on-prem platforms (e.g., AWS, Azure, GCP) to ensure efficient and scalable deployment of machine learning solutions.Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide innovative insights and solutions.Carry out open-ended data mining and analysis for medium to large datasetsfrom disparate sources.Understanding of data science model deployment techniques in containerized environments like Kubernetes.Requirements & Qualifications:Bachelor’s or Master’sdegree in a relevant field such as Computer Science,Data Science, Statistics, or a relatedquantitative discipline.Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning.Strong understanding of deep learning techniques, especially in the domains of NLP is must have.4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.Hands-on experience developing and deploying machine learning models in real-world applications.Familiarity with PySpark and Databricks is a plus.Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment.Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.mumbaiData Scientist
Data Scientist in Data Science & Advanced Analytics team is an incredible opportunity within the Commercial Strategic Data Management team to support the transformation of advanced analytics for Rare Disease Unit by crafting, developing, and fielding data science solutions that drive impact for patients. The primary focus will be on leveraging advanced analytics techniques and data science methodologies to solve complex business problems, generate disease/treatment insight, support HCP lead generation, and drive business growth. This role will work closely with Marketing, US Commercial leadership, Sales Field Team, and Field Operations. This role will help further build the data science capability supporting Commercial. There will also be an opportunity to help share the data and analytics strategy supporting lead generation and other key business priorities. The position will be reporting to the Director of Data Science and Advanced Analytics Lead.You will be responsible for:Work with the Commercial Cross-functional team to identify opportunities for leveraging internal and external data to drive business solutions.Responsible for advanced data science expertise to multiple cross-functional projects and drive delivery of complex data science solutions that drive value to Commercial OrganizationSupport the development and deployment of analytical models in statistical forecasting, marketing analytics, Marketing Mix Modeling, Multi Touch Attribution modeling, automation platforms, and Machine LearningLeads complex projects using wide breadth of data sciences and advanced techniquesLeads large scale projects that utilize online & offline data, structured & unstructured data, set top box data (media/behavioral/attitudinal) to build customer centric models and optimization toolsCreate, manage, and maintain scalable analytical models for recurring analyses and future use caseConduct analytics against HCP and de-identified patient-level healthcare data to drive disease insight and support HCP lead generationLead the development of statistical and machine learning models to quantify the effect and interactions that affect patients’ and their healthcare journeysDevelop statistical model-based Omni-channel marketing solutions based on rich and complicated healthcare data to optimize the delivery of messages and maximize the impact across different channelsOptimize existing and develop new prospecting ML tools/model to support patient finding and HCP identificationUse predictive modeling to increase and optimize customer experiences, revenue generation, targeting, and other business outcomesCollaborates across the Commercial cross-functional team and AI community to develop best practices and cross-functional opportunities that drive valueHelp build team of data scientists to establish in-house advanced analytics capabilitiesSupport Ad-hoc Analyses.You will need to have:BS/MS in a quantitative field (Computer Science, Data Science, Engineering, Information Systems, Economic) with strong knowledge of statistical analysis and modeling5+ years of work experience with statistical and predictive modeling, preferably in consulting, healthcare, or biopharmaceuticalsStrong communication skills and ability to communicate complex methods and results to diverse audiences.Deep experience with analytic tools/languages (e.g., R / Python / Dataiku/Databricks/Qlik) and experience with machine learning and artificial intelligence techniquesProven ability in extracting insights from statistical models, such as linear regression, clustering algorithms, random forest models, time series, Neural Networks, etc.Hands-on Experience working with EHR, administrative claims, and laboratory data (e.g., Prognos, IQVIA, Komodo, Symphony claims data)Candidate must have technical experience in database structures, query languages, structured programming languages, and the ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databasesAbility to analyze and visualize data using data visualization techniquesProficiency in data manipulation, cleansing, and interpretationThe duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours.We would prefer for you to have:Knowledge of distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS and use data and these technologies along with statistical tools like Python/R, etcFamiliarity with data visualization tools like Tableau, Qlik Sense, Power BI, Excel charts/reportsPrior experience with Data TokenizationWorking knowledge of the Salesforce/Veeva CRM, Data governance, and Data mining algorithms.bangaloreData Scientist
About Us With more than $4 billion in annual sales, the Company manufactures markets and distributes retail outlets, food manufacturers and foodservice businesses. We create differentiating flavors consumers prefer with unmatched quality, science, innovation and service. Every day, no matter. where you are or what you eat, you can enjoy food flavored by McCormick. McCormick brings passion to flavor™! As a company recognized for exceptional commitment to employees, McCormick offers a wide variety of benefits, programs and services including, but not limited to, tuition assistance, medical, dental, vision, disability, group life insurance, 401(k) with partial company match, profit sharing, paid holidays, paid sick time and paid vacations.POSITION OVERVIEW:This Data Scientist will be responsible for providing leadership and subject matter expertise in the application of advanced analytics to solve business problems. The role requires a deep understanding of the processing, analyzing and modeling of structured and unstructured data, combined with the ability to interpret results and make recommendations to business stakeholders to shape strategies for our business units globally. The candidate needs to be able to establish credibility in a wide variety of business partners by providing consulting (advisory) services as well as high quality execution across multiple priorities, in a fast-paced environment.RESPONSIBILITIES:Leverage data mining and analytical skills to provide advanced analytic solutions to solve business problems and bring new insights to the businessDevelop and deploy statistical models in the areas of forecasting, marketing mix, segmentation and consumer/market insightsBuild, interpret and report on large data sets with structured and unstructured dataContinuously seek out industry best practice and skills development to create new capabilities for data analytics at McCormickREQUIRED QUALIFICATIONS:Bachelor’s or Master’s degree in Mathematics, Statistics, Engineering or Data Analytics/ScienceDemonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; at least 8 years experience preferredDemonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain.Demonstrated ability to connect the dots between complex data/analytics and business understandingExpertise in SQL, coding in one or more languages (R preferred)Experience with data visualization software (Power BI preferred)Comfortable working with structured and unstructured data sources, including syndicated data, SAPStrong technical curiosity and passion for problem solving and innovation Strong global cross-functional leadership, communication and teamwork skillsAbility to manage multiple priorities simultaneously and foresee and address issues before they become significant obstaclesAbility to travel occasionally as needed (0-5%)gurugramData Scientist
Why WWT?Fueled by creativity and ideation, World Wide Technology strives to accelerate our growth and nurture future innovation. From our world class culture, to our generous benefits, to developing cutting edge technology solutions, WWT constantly works towards its mission of creating a profitable growth company that is a great place to work. We encourage our employees to embrace collaboration, get creative and think outside the box when it comes to delivering some of the most advanced technology solutions for our customers.At a glance, WWT was founded in 1990 in St. Louis, Missouri. We employ over 9,000 individuals and closed nearly $17 Billion in revenue. We have an inclusive culture and believe our core values are the key to company and employee success. WWT is proud to announce that it has been named on the FORTUNE "100 Best Places to Work For®" list for the 12th consecutive year!Want to work with highly motivated individuals that come together to form high performance team? Come join WWT today!What is the Solutions Consulting & Engineering (SC&E) Team and why join? Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end (E2E) and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. We embody the OneWWT mindset by bringing the right talent at the right time from anywhere within WWT to solve our customer's problems. Our goal is to bring together business acumen with full-stack technical knowledge to develop innovative solutions for our clients' most complex challenges. Role OverviewAs a Senior Data Scientist, you will collaborate with a multi-disciplinary team of solution architects, engineers, and data scientists on a wide range of business problems. You will not only work on large scale projects to provide value to our customers but will also routinely contribute to building our internal R&D capability to keep our edge in today's data science. We work on providing analytic solutions to a wide range of clients coming from the domains of mining, healthcare, financial services, retail industry, etc. We are looking for candidates who not just apply algorithms and packages but also understand the working behind them and can develop their own algorithms/IP. Candidates who are passionate about real world business problems tend to also be good data scientists and think creatively. Responsibilities:Work closely with customers and WWT business, engineering, and technology teams. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Work on advanced analytics areas like deep learning and complex statistical data analysis Interact with clients including in-person meetings, towards making business recommendations with effective presentations of findings, including visual displays of quantitative information. Develop analysis, forecasting and optimization methods/models to provide the business solution to the clients. Research and develop internal capabilities to enhance the skill sets on latest data science developments, work towards producing innovative solutions to the existing challenges. Perform quality control of deliverables. Provide thought leadership in algorithmic and process innovations and contribute to creativity in solving unconventional problems. Qualifications: Education Preferably a Ph.D. but also open to master's or bachelor's degree in a quantitative discipline (e.g., statistics, computer science, economics, mathematics, physics, electrical engineering, industrial engineering, or other STEM fields) Work Experience 4-6 years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / data engineer). D. Research and post-doctoral experience also counts. Specialized Knowledge, Skills, and Abilities We do not need an exceptional IQ of 160. All we need is curiosity, humility, and openness to learn. In other words, we just need a Beginner's Mind, even if you have decades of professional experience. Analysis Experience with writing SQL queries, performing basic conversion and transformations (formatting date string), and obtaining statistical summaries by using windowing functions. Experience with usage of R/RStudio, Python, JupyterNotebook Experience with version control tool like Git Strong experience with Excel and PowerPoint to present results. Ability to write scripts to automate ETL tasks.Experience in AI / Deep Learning for text/image/video analytics preferred.Experience in Cloud Computing and data streaming preferred. Problem Solving Ability to run standard model algorithms in R and Python, to perform: classification/regression, clustering, basic text analytics, image recognition, etc. g., run a classification problem using random forest, and obtain the variable importance, produce performance metrics/KPIs; run a k-means clustering problem, produce a KPI to quantify the goodness of clusters. Demonstrated skills in selecting the right statistical tools given a data analysis problem.Experience with charting tools & knowledge of the proper charting tool to use, whether Excel or Tableau. For instance, when to use box-and-whiskers plot, when to use waterfall. Ability to zoom-in to smaller data sets in Tableau or display subcategories. Capable of running multiple scenarios and pick up the optimal solution. Capable of understanding advanced mathematical or physical explanations, to implement or execute the requested tasks. Fourier Transform, Power Spectral Density, Monte Carlo simulation, etc. Actively participates and contributes to brain-storming session. Can work seamlessly with people from other disciplines: IT engineers, client SMEs, business consultants. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. Team & Business Skills Consistently improves communication skills, both verbally and in written materials Demonstrated creativity in problem solving. Demonstrated leadership and self-direction. Demonstrated willingness to both teach others and learn new techniques. Flexibility in task switching. For instance, when there are urgent requests or change of projects, can accommodate the changes without protesting.Mindful of iterations and quality check in a smaller team, before presenting results to larger audience Raises critical issues when detected.gurugramData Scientist
Data Science problems are everywhere, but the talent is not. At Obviously AI, our vision is to turn every company into an AI company. We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. On the back end, we empower data scientists with a set of internal groundbreaking tools to help them deliver results in minutes, not months.We’re a small, scrappy group of people with a strong bent toward failing fast, bias for action and attention to detail. We’re focused on doing the best work of our lives and believe in having a healthy separation of work and life. We keep working hours flexible and are building a hybrid team with most of us located in San Francisco, CA and others working remotely around the world.Obviously AI is backed by some of the top venture capital firms in the US, and you’ll be on the ground floor of a fast-growing company with a big mission.About YouAs a data scientist, you will be on the ground floor of an incredible opportunity to pair your R and Python mastery with industry’s key and critical business challenges. Obviously AI is currently used by several companies across the globe and our users deeply love the speed, reliability and customer care that we provide.You will have no shortage of interesting and exciting data science challenges that, when solved, can transform entire businesses around the world.Our ideal candidate for this role is someone who really wants to get their hands dirty in a small, scrappy team. You should be excited about the idea of solving different data science challenges everyday, educating non-technical users with the right information by boiling down complex AI concepts into layman terms and leading with a lot of autonomy and agency. You'll report directly to the founders, you'll be a key proponent of Obviously AI’s early success and have the equity (aka. "skin in the game") to make it worthwhile.Here are some other qualities we’re looking for in a perfect hire:You are a clear and creative thinker with excellent written and verbal communication skills.You can creatively articulate complicated concepts in layman terms.You are comfortable with writing R and Python scripts to conduct data analysis, data pre-processing and feature engineering tasks.You love machine learning and data science, and are always up to speed with the latest developments in the space.You possess the personality to easily connect and become familiar with new people.You work collaboratively but autonomously: asking for what you need, but not expecting micromanagement.You like processes and want to help build it, but you're also OK with the "organized chaos" of a small team.You're excited to build a career at an energetic startup, with an eagerness to learn and develop your skill set across a wide range of activities.You're comfortable communicating new ideas and experimenting without fear of failure.You're able to pick up new skills quickly, and adapt well to feedback on your work.RequirementsInteract with customers to explain technical concepts in layman terms.Troubleshoot model performance by reviewing model metrics (e.g. precision, recall, f1 score, etc.), exploring and recommending best practices for structuring dataset.Perform data cleaning and pre-processing on complex datasets. Incl. removing rows/cols, stripping values, changing units, normalization, imputing missing values, expanding cols, etc.Conduct feature engineering on customer datasets. Incl. creating new cols out of existing cols, running statistical functions on rows/cols, working on transforming columns, etc.Analyze large amounts of information to discover trends and patterns.Build predictive models and machine-learning algorithms (with Obviously Al's No-Code tool).Propose solutions and strategies to business challenges.Collaborate with engineering and product development teams.Update and manage technical support tickets and requests.BonusExperience working with small (Seed to Series A) startups.Experience working on a data science or AI product.Experience working on a self-serve, product-led SaaS productBenefitsEquity PackageUnlimited PTOTraining & DevelopmentCompany SwagbangaloreData Scientist
Are you looking for a challenging and rewarding career in Data Sciences?Join Our Tiger Tribe ! If you are a highly motivated and experienced professional who is looking for a chance to make a real difference, we encourage you to apply.5 -10 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.Good communication skills, both verbal and written.Exhibit a fervour for crafting modular, scalable, and bug-free Python code.Comfortable in SQL with additional proficiency in office tools like Excel & PowerPoint.Experience in production engineering best practices (e.g. Git versioning, Docker).Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).Excitement to collaborate with diverse stakeholders across the organisation.In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.Hunger to learn new technologies and embrace the change.Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.Location: Chennai, Bangalore and HyderabadbangaloreData Scientist
About the jobCompany DescriptionMerkle, a dentsu company, is a leading data-driven customer experience management enterprise specializing in delivering unique, personalized customer experiences across platforms and devices. With over 30 years of experience, Merkle partners with Fortune 1000 companies and non-profit organizations to optimize their customer portfolios. Its expertise in data, technology, and analytics enables it to gain insights into consumer behavior, driving hyper-personalized marketing strategies. Merkle's consulting, creative, media, analytics, data, identity, CX/commerce, technology, and loyalty & promotions capabilities combine to drive improved marketing results and a competitive edge. With over 14,000 employees, Merkle is headquartered in Columbia, Maryland, with more than 50 additional offices worldwide. Its innovative solutions enable brands to build meaningful customer relationships and enhanced customer experience.Years of Experience: 2-4 years Location: PuneJob Role: As a Data Scientist, you will play a pivotal role in leveraging data to uncover actionable insights and contribute to the development of innovative solutions. You will work closely with cross-functional teams to build predictive models, optimize processes, and transform data into valuable business insights. The ideal candidate should have a minimum of three years of experience in data science and a strong background in statistics, machine learning, and data analysis. Job Description: Data Analysis: Analyze complex data sets to identify trends, patterns, and opportunities for improvement. Predictive Modelling: Develop and implement advanced machine learning algorithms and statistical models to solve business problems and improve decision-making processes. Data Pre-processing: Prepare and clean data for analysis, ensuring data quality and reliability. Feature Engineering: Create and engineer relevant features to enhance model performance. Model Evaluation: Evaluate and fine-tune models for accuracy, precision, and recall, considering business objectives. Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to define project objectives and requirements. Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and data analytics and apply them to solve real-world problems. Documentation: Document all aspects of the data science process, including data sources, methodologies, and results. Mentorship: Provide guidance and mentorship to junior data scientists in the team. Presales: Support presales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Revenue Generation: Identify opportunities for revenue generation through innovative data-driven solutions, collaborating with sales and business development teams.To apply, pls apply on LinkedIn as well as send us your updated cv mentioning the below details to sharon.cardoz@dentsu.com (so we can process your candidature faster):We thank you for sending us your profile & details for this role. If your profile gets shortlisted for roles with us, we look forward to a conversation with you to learn about more of what makes you awesome!Dentsu International is growing exponentially as we help our clients make meaningful progress as champions of good change. Come be a part of this amazing journey, together with some of the best minds in the business that call us home.Follow us on LinkedIn to stay updated: https://www.linkedin.com/company/dentsuintl/pune- IT Services,Pharmaceuticals / Biotechnology,Data Scientist,Data Science & Analytics
Data Scientist
IT Services,Pharmaceuticals / Biotechnology,Data Scientist,Data Science & AnalyticsWe create innovative digital solutions for some of the world’s largest Fortune 500 companies by combining research, design, and technology. Our dedication to digital innovation, user?centric design, and service excellence is why our customers value us as a trusted partner.
The Role
Job Description:
We are seeking a talented and experienced Data Scientist to join our team. The ideal candidate will be passionate about utilizing data science methodologies to derive insights from digital device sensor data coming from clinical studies and contribute to the development and implementation of algorithms in this area. As a Data Scientist, you will work closely with customers to analyze data and build models and tools that enhance understanding of clinical outcomes and solve their business problems.
Responsibilities:
- Collaborate with customers to identify key questions, develop hypotheses, and test those hypotheses with clinical study data.
- Develop models and tools to extract meaningful insights from sensor cloud platform. Research and develop novel digital measures with clinical significance.
- Apply machine learning techniques to optimize large sets of sensor data processing and analysis, e.g., noise reduction.
- Validate and interpret results to ensure accuracy and reliability.
- Communicate findings and insights to stakeholders through clear and compelling visualizations, reports, and presentations.
- Work closely with cross-functional teams to develop data-driven solutions to address business needs.
- Stay up-to-date with the latest advancements in data science and clinical research to continuously improve methodologies and approaches.
Ideal Profile
Preferred Qualifications:
- Work with clinical sensor data to derive meaningful correlations.
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of SQL & NoSQL and experience working with related databases.
- Familiarity with cloud computing platforms such as AWS or Google Cloud Platform.
- Prior experience in developing and implementing algorithms in a healthcare or pharmaceutical setting.
Requirements:
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
- Proven experience working with sensor data and related algorithms.
- Proficiency in programming languages such as Python or R for data analysis and machine learning.
- Experience working with cloud-based platforms such as AWS, Azure or related and their data pipeline development.
- Experience with data visualization tools such as matplotlib, seaborn, or ggplot2.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Kindly include your expected salary in your resume.
What's on Offer?
- Excellent career development opportunities
- Great work environment
- Leadership Role
Singapore Data Scientist
We are seeking a skilled Data Scientist with min 3 years of experience to join our team in Gurugram. This role will also require travelling within India . The ideal candidate should possess strong analytical skills, a solid understanding of statistical techniques, and hands-on experience with data visualization tools like PowerBI. Additionally, expertise in ETL (Extract, Transform, Load) processes is required.
Responsibilities:
- Analyze complex datasets to extract valuable insights and identify trends.
- Develop predictive models and algorithms to support business objectives.
- Collaborate with cross-functional teams to understand data needs and deliver actionable solutions.
Requirements:
- 3 plus years of proven experience as a Data Scientist or similar role.
- Proficiency in statistical analysis, machine learning techniques, and programming languages such as Python or R.
Join our dynamic team and contribute to driving data-driven decisions that impact our business success!
Skills:- Natural Language Processing (NLP), Computer Vision and recommendation algorithmGurugramData Scientist
Job Summary
We are seeking an experienced and highly skilled Senior Data Scientist to join our dynamic team. As a Senior Data Scientist at TechVerito, you will play a key role in driving our data science initiatives and leveraging advanced analytics techniques to solve complex business problems. You will collaborate closely with cross-functional teams to develop and deploy machine learning models, natural language processing (NLP) algorithms, and deep learning solutions across text, audio, and video domains.
Job Requirements
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 4+ years of hands-on experience in data science, machine learning, and artificial intelligence.
- Proficiency in programming languages such as Python, R, or Java.
- Strong understanding of machine learning algorithms, techniques, and methodologies.
- Experience with NLP libraries and frameworks such as NLTK, spaCy, or TensorFlow.
- Demonstrated expertise in deep learning techniques and frameworks such as TensorFlow, PyTorch, or Keras.
- Experience working with text, audio, and video data in machine learning applications.
- Solid understanding of data visualization techniques and tools.
- Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
- Hands-on experience in analysis, design, coding, and implementation of complex, custom-built applications.
- Strong communication and client-facing skills with the ability to work in a consulting environment are essential.
Job Responsibilities
- Lead the design, development, and implementation of machine learning models and algorithms to extract insights from large datasets.
- Apply advanced statistical and mathematical techniques to analyze data and solve complex business problems.
- Develop and deploy NLP algorithms to analyze and interpret unstructured text data.
- Utilize deep learning techniques to analyze audio and video data and extract meaningful insights.
- Collaborate with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
- Stay abreast of the latest developments in machine learning, NLP, deep learning, and AI technologies.
- Mentor junior team members and provide guidance on best practices in data science and analytics.
Perks
- Work-Life Balance
- Skill Development
- Object Bootcamp
- Sabbatical Leave
- Parental Leaves
- Office Perks (Free Meal, Snacks)
- Challenging work
Culture
- Open Culture
- Flat Hierarchy
- 360-degree feedback
- Lot of Freedom
- Nobody reports to no one
- Mentorship Program
- People Supportive
- Competitive & Friendly Environment
Skills:- Machine Learning (ML), GenAI, Natural Language Processing (NLP) and Deep LearningPuneData Scientist
Summary of the role: We are seeking a highly skilled and motivated data scientist with a strong background in statistics, machine learning, and data analysis, as well as experience in working with large, complex data sets. An ideal candidate will have deep understanding and hands-on experience in using advanced statistical techniques to measure and monitor experiments, ability to collaborate with cross-functional teams, and communicate findings to stakeholders and contribute to decision making by providing actionable recommendations. As part of your duties, you will be responsible for: • Work with the stakeholders to embed an advanced culture of statistically robust Experimentation, helping teams to make the right business decisions using robust evidence and reliable data. • Assist in the design of experiments to help team generate and test hypotheses, as well as interpret results to maximize learnings and prove real value across the business • Identifying opportunities to improve the quality of existing solutions through the addition of new data or application of alternative Data Science techniques • Defining problems, scoping and planning projects. • Manage the end-to-end delivery of the project and the relationship with the client • Coach junior team members on data science concepts and algorithms Qualifications and experience we consider to be essential for the role: • 4+ years of experience working as a data scientist • Strong proficiency in statistical analysis and programming – Python/R (python preferred) and SQL. • Experience of working in BFSI (Insurance preferred) • Ability to develop A/B test experimentation design and analysis as well as multi-variate testing • Proven experience in using advanced statistical techniques to design, run, and measure onsite and offsite experiments • Experience of using various resampling techniques to build distributions and estimate parameters • Knowledge of quasi-experimental evaluation methods • Experience working in AWS Sage Maker Notebooks. • Team management experience • Eager to learn and develop technical skills – also happy to share knowledge with others • Experience of working in Agile ways of working using Jira • Experience working directly with stakeholders • Analytical mindset and strong problem-solving skills • Excellent written and verbal communication skillsgurugramData Scientist
About HouseEazy: At HouseEazy, we are revolutionizing the real estate industry with cutting-edge technology to make property transactions as seamless as possible. Our dynamic team thrives on innovation, collaboration, and the drive to create a transparent and efficient property market.Job Description: We are seeking a highly analytical and skilled Data Scientist to join our team. The ideal candidate will be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.Responsibilities:Data mining or extracting usable data from valuable data sourcesUtilize predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.Develop company A/B testing frameworks and test model quality.Coordinate with cross functional teams to implement models and monitor outcomes.Conduct data-driven research and create models to understand complex behaviors and trends.Present data insights and recommendations to senior management for strategic decision-making.Develop and maintain prediction systems and machine learning algorithms.Qualifications:Minimum 3+ years of experience in the IT industry.Strong problem-solving skills with an emphasis on product development.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.A drive to learn and master new technologies and techniques.Experience working with and creating data architectures.If interested please share your resume at hr@houseeazy.com or whatsapp at 9560078207noidaData Scientist
About us:Intuitive.Cloud is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an "Engineering Company" delivering measurable value and key business outcomes.Intuitive Superpowers:- DataOps & AI/ML- Cloud Native, AppSecOps, DevSecOps- Cloud Migration & Transformation- Cloud FinOps- Cybersecurity (App/Data/Infra) & GRC- SDx & Digital WorkspaceWe are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.Title – Mid-Level Data Scientist Start date: ImmediatePosition Type: Full-TimeLocation: Remote across IndiaWork Timing: Eastern Time ZoneRole Overview:We seek a talented and experienced Mid-Level Data Scientist to join our innovative team. As a Mid-Level Data Scientist, you will be key in developing and implementing advanced machine learning and deep learning algorithms to extract insights from complex datasets. Key Responsibilities:advanced machine learning and deep learning techniques to solve complex business problems and extract actionable insights from structured and unstructured data.and implement predictive models, recommendation systems, and other AI-driven solutions to optimize business processes and improve decision-making.with cross-functional teams to understand business requirements, design data-driven solutions, and deliver impactful results.updated on the latest advancements in machine learning, deep learning, and GenAI technologies, and incorporate best practices into our data science methodologies.junior data scientists and provide guidance on advanced data science techniques and methodologies.Required Skills and Qualifications:PH.D in a relevant field (for new graduate candidates) or more than five years of industry experience in data science.Deep knowledge and expertise in machine learning, deep learning, and GenAI techniques and methodologies.Proficiency in programming languages such as Python.Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or scikit-learn.Strong analytical and problem-solving skills, with the ability to work with large, complex datasets.Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.indiaData Scientist
Company Description Dreamwave AI is an AI research lab that provides next-gen creative tools powered by AI to augment human creativity. The company is dedicated to pushing the boundaries of Artificial Intelligence and Machine Learning in order to create new ways of thinking about creativity. Role Description This is a full-time remote role for a Data Scientist at Dreamwave AI. The Data Scientist will be responsible for analyzing large datasets to identify patterns and trends in data. The role will also involve designing and implementing statistical models to solve business problems, and presenting findings to stakeholders in a clear and concise manner. Qualifications Data Science and Statistical analysis skillsData Analytics and Data Visualization skillsData Analysis skillsStrong problem-solving and critical thinking skillsAbility to work independently and remotelyBachelor’s degree in Computer Science, Statistics, Mathematics, or a related fieldExperience in Machine Learning and/or Artificial Intelligence is a plusStrong programming skills in Python or RindiaData Scientist
OVERVIEW Course5 Intelligence We enable organizations to make the most effective strategic and tactical moves relating to their customers, markets, and competition at the rapid pace that the digital business world demands. Founded in 2000, our business areas include Market Intelligence, Big Data Analytics, Digital Transformation, Artificial Intelligence, and Analytics. Rapid advances in Artificial Intelligence and Machine Learning technology have enabled us to create disruptive technologies and accelerators under our Course5 Intelligence suites that combine analytics, digital, and research solutions to provide significant and long-term value to our clients. More information can be found at www.course5i.com Global Offices United States | United Kingdom | United Arab of Emirates | India | SingaporeBRIEF JOB RESPONSIBILITIES: As a part of the data science team of Course5’s Advanced analytics and Applied AI division, we are looking for a Data Scientist who is diligent, detail-driven, and ambitious to provide the SME expertise, design solutions and best practices to lead the projects for our partners across the globe for all AI implementations. This position will require a strong background and working experience in developing scalable, sustainable and cloud agnostic data marts/lakes to enable effective deployment of AI algorithms developed to solve custom problems in the partner ecosystems for sandboxes as well as for the production deployments for continuous modeling, testing, improvement and deployment. This role expects you to be a self-starter and ability to handle ambiguity with respect to the expectations, objective, data and would require discrete and constant attention to details. You will be leading and delivering the projects and are expected to have experience in application agile project management principles. You should be organized and have the ability to work on multiple projects, streams of work and stakeholders. You'll also have the chance to shape the direction of our products and services. This is through gathering feedback from customers whilst collaborating with our engineering and service teams.? Apply domain expertise in CPG, healthcare, or technology to develop data-driven solutions that ? address complex challenges in the industry.? Collaborate with cross-functional teams to identify business problems and opportunities where data? science can provide valuable insights and solutions.? Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency in ? creating efficient and well-documented code.? Showcase a strong portfolio of successfully deployed machine learning projects that highlight? expertise in predictive modeling, classification, regression, clustering, and more.? Hands-on experience in deep learning techniques related to computer vision and/or Natural Language Processing (NLP), with a preference for expertise in PyTorch or Keras.? Exhibit knowledge of MLOps practices, enabling smooth integration of machine learning models into.? production systems and maintaining their lifecycle.? Demonstrate an intermediate level of proficiency in cloud platforms (e.g., AWS, Azure, GCP) to? ensure efficient and scalable deployment of machine learning solutions.? Stay up to date with the latest advancements in data science, machine learning, and AI technologies.? to provide innovative insights and solutionsRequirements & Qualifications: • Bachelor’s or Master’s degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline.? Hands on experience on Knowledge Graph & Decision engines is a must.? 4-8 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.? Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.? Hands-on experience developing and deploying machine learning models in real-world applications.? Strong understanding of deep learning techniques, especially in the domains of computer vision or NLP is good to have.? Proficiency in at least one deep learning framework, preferably PyTorch or Keras.? Intermediate-level experience with MLOps practices and cloud platforms for model deployment. ? Familiarity with PySpark and Databricks is a plus.? Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment.? Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.Course5 is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.bangaloreData Scientist
About Valiance:Valiance is a leading technology consulting firm dedicated to helping global clients achieve digital transformation through innovative solutions using Artificial Intelligence, Software Engineering, and Cloud Technologies. With a strong focus on Retail, Apparel, Fashion, Manufacturing, and Industrial segments, Valiance leverages its strategic partnerships with Google Cloud and Databricks to deliver cutting-edge solutions to its clientele.Position OverviewWe are looking for a Data Scientist with a robust background. The candidate should be skilled in Python,R, SQL, Machine Learning, NLP and bring at least 2+ years of experience, preferably from a Tier 1 college.Essential :2+ years of experience as a data scientist.Hands-on expertise in Predictive Modelling, Machine Learning, Customer Segmentation, EDA Etc.Proficiency with SQL, Python & R.In-depth understanding of Feature engineering and selection approaches, Segmentation or stratified analyses and data transformation approaches.Strong grasp of numbers, statistics, mathematical concepts, and algorithms.Ideally with a degree at a Masters level.Knowledge of data structures, relational data, and big data platforms.Ability to debug, troubleshoot and optimize existing code base.Knowledge of working with Github and MLops principles.Demonstrate experience and understanding of Machine Learning, e.g.: linear/logistics regression, random forest, XGBoost, SVM, neural networks, etc.Desirable:Experience of working within a multicultural, global environment.Experience of working in a fast moving and changing environment.Experience with NLP and linguistic approaches for retrieval, interpretation, and pushing of insight from scientific literature.Personal Skills :Strong communication skills, both written and verbalAbility to manage stakeholders' expectations and work in a high-pressure environment.Demonstrate strong ownership & commitment to the cause of customer success.A team player capable of high performance, flexibility in a dynamic working environment and the ability to leadbangaloreData Scientist
About us:AIqwip is an AI consulting & Saas company focused on enabling businesses to enhance their products, services and processes by leveraging AI capabilities.Role : Data ScientistExperience : 1-3 Yr(s)What we are looking for:We are looking for passionate individuals with a zeal to excel in his/her domain. We value people who take extreme ownership, responsibility and showcase exceptional leadership skills. If you are someone with a focus on adding value to the customers and wish to grow along with the organisation then you are the right candidate for this role.Qualification:BE/B.Tech/MCA/M.Sc./MS with minimum 1-3 years of relevant IT-experience post Qualification.Roles & Responsibilities:As a data scientist you will be working on various client projects related to Gen AI, AI/ML, NLP techniques. As part of this role, you will be engaged in product ideation, technical design and hands-on development activities.Skill set:Must Have:Expertise in Python, SQL, Django/Flask/FastAPIGen AI: OpenAI GPT model apis, assistants, vector dbsML & Deep Learning algorithms, pandas, scikit learn, kerasGit, Docker, SDLC, OOPSExcellent communication skills Good to have:Experience of deployment on AWS/Azure/GCPReact JS, HTML, CSS,bangaloreData Scientist
What impact will you make?Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte is where you’ll find unrivaled opportunities to succeed and realize your full potential.We are renowned for our innovative and collaborative culture, commitment to delivering outstanding quality service to clients and enabling our people to excel in everything they do. Our DTA practice is fully integrated into the “One Deloitte” agenda and you will often find yourself working on large and exciting projects. Benefiting from high levels of exposure and learning from some of the top practitioners in the Analytics field, you will expand your skills into the full analytics services. The TeamData Technology and Analytics uses innovative tools to analyze vast amounts of data to identify opportunities proactively or reactively for revenue enhancement, cost optimization, risk mitigation and strategic advice for our clients. The group specializes in electronic data sourcing, optimization, analysis, interpretation, prediction, and modelling.We work as an extension of our Deloitte member firms’ analytics practices and provide dedicated support throughout the project lifecycle. Working on international assignments involving cross-border and cross-service line teams allows you to build your networks across the vast Global Deloitte network.We also have an active international secondment program for our staff after they gain relevant experience, we believe this plays a crucial role in the overall career and personal development of our staff.Work you’ll doThe FA Assets Center of Excellence is responsible for delivery of complex analytics solutions to help FA globally achieve clear differentiation and sustainable competitive advantage through improved decision making.We are looking for ambitious analytics professionals who have a real passion for AI, analytics and delivering valuable insights, and who think differently about problems and solutions.You will have the opportunity to collaborate across teams within FA as well as the wider firm. Designing and delivering data science solutions that embrace people, process, data and technology to realize the strategic outcome.As a Manager/Senior Manager, you will have the opportunity to be involved in a wide range of projects where you will:Build and execute on a comprehensive AI strategy to support business objectivesLeading, defining, designing, and developing AI and data science solutionsSupport the member firm and/or the client through the model development processLead and/or work as part of a team to design, develop and test models taking into consideration various scenarios and sensitivities the model will be exposed to, to enhance our diverse range of clients’ analysis and decision-making processBe required to have strong business diagnostic skills and the ability to apply a logical and analytical approach to problem solving Qualifications Bachelors/ Master’s degree from a reputed institute in Computer Science, Information Systems (STEM) or similar quantitative discipline. Preferably, Master’s degree in a relevant field such as Mathematics, Statistics, Economics, or Computer Science12+ years of experience in Business Strategy, Data Science, AI with leadership rolesExperience in client relationship management and scaling analytics teamsSkills Required To be considered for the role, your competencies will cover the broad scope of analytics services, leveraging your professional background and skills such as:Must have:Strong proficiency in hands-on AI work with either Python / R / SAS / SPSSExpertise in machine learning frameworks and tools, with a focus on practical implementation.Active contribution to the development and implementation of Machine Learning and Deep Learning models and techniquesThorough understanding and experience with statistical parameters and evaluation metrics of AI modelsExtensive hands-on experience with Natural Language Processing (NLP) and Deep Learning modelling/Neural Network techniquesData Pre-processing / Data Mining & Management / Predictive Analytics / Machine Learning / Optimization / Business Rules Engines / Risk Scoring & IdentificationDatabricks / SQL / Azure Data Factory / Azure AI StudioRequire hands-on experience with Generative AI models or LLMs and Prompt Engineering. This extends but not limited to Retrieval Augment Generation (RAG), Summarization, Data Analysis etc.Good to have:Experience with OpenAI based frameworksExperience with source control (git) and Azure DevOpsGood understanding of the ETL framework and ability to build efficient ETL dataflows using ADF, MS SSIS, or PythonDataiku / DataRobot / AWS SagemakerTableau / Power BIExperience with MLFlow and other MLOps pipelineKnowledge of existing and upcoming platforms and vendors in the market with and leveraging them creatively into wider business solutionsThis role will also leverage additional skills such as:Ability to create advanced analytical models that are fit for purpose and scalable, to identify insightful trends and patterns from the dataUnderstanding existing and upcoming AI frameworks and realizing them to appropriate assets/solutionsExperience in structuring, presenting, and communicating your work resultsProficiency in English and overall communicationYour Leadership & Professional CapabilitiesAbility to present complex business and technology problems and solutions in a simple form address the level of audience from C-level, executive sponsors, and business owners to engineering and operational teamsStrong appetite for innovation and emerging technologiesProvide guidance on best practices, project execution, and professional development.Demonstrate ability to think strategically about business, create technical solutions with end users in mind, motivate and mobilize resources, as well as deliver resultsFlexibility in terms of working hours and working on multiple tools and technologies How you’ll grow At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.BenefitsAt Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.Our purpose Deloitte is led by a purpose: To make an impact that matters.Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world.mumbaiData Scientist
DescriptionWe are looking for 2018 and later graduatesAbove position is expected to implement Data Transformation and Data Science integration using python based pipelines deployed using cloud servicesData Extraction, Transformation, Feature Engineering and algorithm development are the key responsibilitiesResponsibilitiesAnalyze raw data: assessing quality, cleansing, structuring for downstream processingCollaborate with business, design and engineering teams to bring analytical prototypes to productionDesign accurate and scalable prediction algorithmsGenerate actionable insights for business improvementsBasic QualificationsEducation: B.E./M.Sc./M.E./M. Tech.Minimum 1 Year of relevant data science experienceKnowledge & SkillsHands on understanding of MS Excel and MS PowerPointVery strong @ SQL and PythonInteraction with various file formats and databasesFiles Processing – XML, CSV, Excel, Jason, etc. FormatsStructured and Non-Structured Data processingRequired Competencies1 - 5 years of experience in quantitative analytics or data modelingDeep understanding of at least 2 supervised or unsupervised learning algorithms - predictive modeling, machine-learning, clustering and classification techniquesFluency in written and spoken EnglishCustomer FocusGood verbal & written English communicationAbility to work with globally diverse teamsReadiness to work in flexible work timingsAbstract & Analytical ThinkingAn interpersonal savvy. A very good team playerNimble learning. Willingness to explore and adaptBachelor's degree or equivalent experience in Quantitative or Technical field (Statistics, Mathematics, Finance, Computer Science, Engineering, etc.)bangaloreData Scientist
Job Title: E-commerce Data Scientist/AnalystLocation: Bangalore, KarnatakaExperience: 5+ yearsWe are seeking a highly skilled and motivated E-commerce Data Scientist/Analyst to join our team. The ideal candidate will have a strong background in e-commerce, SEO, Python/R development, data science, data analytics, business intelligence, and visualization. They should be adept at handling complete data cycles and possess the ability to develop predictive algorithms. The candidate should also have experience in utilizing various SEO tools and best practices to optimize e-commerce platforms.Qualifications:Proven track record of delivering full-stack data projects from inception to business impact.Advanced proficiency in Python/R programming languages for data analysis and development purposes.Experience with SQL/NoSQL databases and data querying.Familiarity with data foundations and databases like Presto, Hive, Teradata, and Spark.Strong knowledge of SEO tools and best practices.Experience in the e-commerce industry is advantageous.Solid understanding of statistical techniques and machine learning algorithms.Proficiency in BI tools such as Tableau or Superset for data visualization.Excellent analytical, problem-solving, and communication skills.Ability to work both independently and collaboratively in a fast-paced environment.Preferred Qualifications:Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.Familiarity with Agile methodologies and project management tools.Certification in relevant areas such as Google Analytics, Tableau, or AWS.Experience with Docker and Kubernetes for containerization and orchestration.Knowledge of natural language processing (NLP) techniques for text analysis.Join us in revolutionizing the e-commerce industry with data-driven insights and innovations. If you're passionate about leveraging data to drive business growth and thrive in a dynamic environment, we'd love to hear from you. Apply now!bangaloreData Scientist
With 24+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Fintech, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific.Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions is routinely rated high by the industry.Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. Furthermore, we do not focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We will create a world of opportunities for you.Job Title: Data Scientist – AI/MLLocation: Bangalore / Pune / Hyderabad / Noida / KolkataQuick joiners neededRole & Responsibilities:Build, Train and Deploy ML Models using Python9+ years of Experience in building Machine Learning models in PythonExperience on working on AWS SagemakerAbility to deploy ML models with REST based APIsExpertise in time series forecasting for use cases like Demand Forcasting, Yield forecasting using Prophet, TFT (Temporal Fustion Transformers) etcExperience with ML techniques like Regression, Classification, Clustering etc.Experience with Deep LearningExperience with Docker/KubernetesAbility to work directly with customers with good communication skills.Ability to analyze datasets using SQL, PandasExperience on Airflow, Pyspark is a bonusExperience in using tools like JIRAExperience in onsite/offshore model of project executionbangalore- Technology, Information and Internet
Data Scientist
Company Description Dreamwave AI is an AI research lab that provides next-gen creative tools powered by AI to augment human creativity. The company is dedicated to pushing the boundaries of Artificial Intelligence and Machine Learning in order to create new ways of thinking about creativity. Role Description This is a full-time remote role for a Data Scientist at Dreamwave AI. The Data Scientist will be responsible for analyzing large datasets to identify patterns and trends in data. The role will also involve designing and implementing statistical models to solve business problems, and presenting findings to stakeholders in a clear and concise manner. Qualifications Data Science and Statistical analysis skillsData Analytics and Data Visualization skillsData Analysis skillsStrong problem-solving and critical thinking skillsAbility to work independently and remotelyBachelor’s degree in Computer Science, Statistics, Mathematics, or a related fieldExperience in Machine Learning and/or Artificial Intelligence is a plusStrong programming skills in Python or RTechnology, Information and InternetIndia