6 DIRECTOR DATA SCIENCE JOBS

share your resume with me - priyanka.rohilla@axtrai.com Pharma/Healthcare exp is preferredRole: Director/ Associate DirectorLocation : Gurugram / Noida / Bengaluru / Hyderabad / PuneJob Responsibilities : Axtria is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are seeking high energy, driven and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the company’s growth supporting our clients’ commercial & clinical strategies.Craft winning proposals to grow the Data Science Practice.Develop and operationalize scalable processes to deliver on large & complex client engagements.Ensure profitable delivery and great customer experience – design the end to end solution, put together the right team and deliver as per established processes.Build an A team – hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice.Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development.Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtria’s thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space.Qualifications & ExperiencePost graduation or PhD in Computer Science is a must.12+ years of experience in the data science space – preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations.Ability to translate business questions into analytics techniques (regression classification, NLP, etc.) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations.Expertise in data management, data modeling, data quality, dev ops, data migration & data structure integration.Expertise in advanced AI/ML algorithms & their applications, NLP, deep learning frameworks, computer vision. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, TensorflowRelevant Mastery in Feature Engineering, Feature Selection and Model Validation on Big DataExperience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, Glue; viz tools like Tableau and Power BI.Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers.Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer.Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus

Hiring for a Director in Data Science and Business Intelligence in Mumbai.Required qualifications, capabilities, and skillsMBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field preferred15+ years of experience in Data Science, AI / ML, Data Modelling, Business Intelligence, Client IntelligenceExperience using computer languages (Python, Pyspark, Google Analytics, etc.) to manipulate and analyze large datasets.Experience using machine learning libraries in Python (Numpy, Pandas, Sci-kit learn, TensorFlow, etc.)Knowledge of a variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross-validation, feature selection approaches, hyperparameter optimization, missing data imputation, etc.)Strong visualization capabilities and experience with BI tools (Qlik, Tableau, Power BI, etc).Technical expertise in data mining (SQL, Python, etc)Experienced people manager adept at working in matrix organization and managing dynamic high-performance teamsPreferred qualifications, capabilities, and skillsUnderstanding of Investment Management Business, Mutual Funds, Managed Accounts, and/or Separate Accounts are preferableA balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity. Excellent communication skills and story-telling acumenAbility to multi-task and understand priorities/workflows. Self-motivated, team player with strong work ethicAbility to build relationships across global teamsInterested candidates can share their cvs at sadaf@credencehrservices.com

POSITION: Associate Director/DirectorShould be from Tier1/Tier2 Colleges only (10th, 12th and Graduation - minimum 60%)python, pysparkData Science, ML ops, Data Modeller, Model Building, Generative AILOCATION: Gurgaon/Noida/Bangalore/Pune/HyderabadJOB OBJECTIVE: Sr. Data Scientist with good hands-on experience of 10+ years in developing state of the art and scalable Machine Learning models and their operationalization, leveraging off-the-shelf workbench production.KEY RESPONSIBILITIES:Necessary Skills–10+ years of experience of model development using Python/PySpark libraries. Development on Databricks or Dataiku DSS (Data Science Studio) environment would be a plusStrong experience on Spark with Scala/Python/JavaStrong proficiency in building/training/evaluating state of the art machine learning models and its deploymentProficiency in Statistical and Probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, ClusteringProficiency in Core NLP techniques like Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc. Understanding of Generative AI / Large Language Models / Transformers would be a plusHands on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn,Seaborn, PyCaret, MatplotlibProficiency in Python and common Machine Learning frameworks (TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkMLand OpenAI etc.)Experience of working in large teams and using collaboration tools like GIT, Jira and ConfluenceGood understanding of any of the cloud platform – AWS, Azure or GCPUnderstanding of Commercial Pharma landscape and Patient Data / Analytics would be a huge plusShould have an attitude of willingness to learn, accepting the challenging environment and confidence in delivering the results within timelines. Should be inclined towards self motivation and self-driven to find solutions for problems.Should be able to mentor and guide mid to large sized teams under him/herLogical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Be able to notice and call out discrepancies and inconsistencies in information and materials.Business Development – Proven experience in contributing / leading business development initiatives through RFP/RFI responses, creating proposals and leading account mining opportunitiesTask Management – Should have experience in task management and be able to plan self and team’s tasks. Should be able to proactively coarse-correct, basis the current priorities along with their tracking and progress reportCommunication – Able to convey ideas and information clearly and accurately across forums/team in written or verbal ELIGIBILITY CRITERIA: Education:B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college with 10+ years of proven experience in the field of Advanced Analytics or Machine LearningMaster’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college with 10+ years of experience Required Experience:Real-world experience in implementing machine learning/statistical/econometric models/advanced algorithms (ideally, 10+ years of experience involving machine learning)Breadth of machine learning domain knowledgeExperience in application of machine learning algorithms (classification, regression, deep learning, NLP, etc.)Experience with a ML/data-centric programming language (such as Python, Scala, or R) and ML libraries (pandas, numpy, scikit-learn, etc.)Experience with Apache Hadoop / Spark (or equivalent cloud-computing/map-reduce framework)Behavioral CompetencyExcellent communication skills (must be able to interface with both technical and business leaders in the organization as well as the client)Strong analytical skills to solve and model complex business requirements Desirable qualities:Customer Focus - Dedicated to meeting the expectations of internal and external clients.Problem Solving – Ability to use rigorous logic and methods to solve difficult problems with effective solutions. Probes all fruitful sources for answers. Is excellent at honest analysis. Looks beyond the obvious and doesn't stop at the first answers.Learning on the Fly - Learns quickly when facing new problems. A relentless and versatile learner.Drive for result - Able to set priorities; pursue tasks tenaciously and with a need to finish. Able to overcome setbacks which may occur along the way.

About Us:HighRadius offers cloud-based Autonomous Software for the Office of the CFO. More than 700 of the world’s leading companies have transformed their order to cash, treasury and record to report processes with HighRadius. Our customers include 3M, Unilever, Anheuser-Busch InBev, Sanofi, Kellogg Company, Danone, Hershey’s and many more.We at HighRadius firmly believe that a product is only as good as the people behind it. Whether it's product development, customer support, sales or operations, all our employees see the direct impact of their work. As one of the fastest growing FinTech software companies and a leader in the Fortune 1000 space, HighRadius focuses on hiring talented and motivated people from diverse backgrounds.Job Summary: We are currently seeking a leader in Data Science who can provide the technical leadership to the team -- Guide ML Automation team across Bhubaneswar & Hyderabad on data integrity, data accuracies, model engineering, modelling techniques, algorithm techniques, model accuracies, governance processes and more to render accurate models/automation logics that render business valueResponsibilities:Own the architecture and delivery of Automation logics via heuristic or ML models across all Order to Cash products as planned with qualityTake a hands-on role and deliver on highly visible projects. Conduct applied AI experiments using scientific, rigorous, and reproducible methodology, on internal datasets as well as on public datasets so that the results may be publishable as appropriate.Foster an environment of innovation and continuous improvement. Be a champion for continuous learning - Enable the ML team to continuously upgrade themselves with new algos, technologies and techniques in the ML worldContinuously work towards making ML playbooks are detail oriented and delivery processes water-tight for quality delivery and most importantly, collaborate with product management/consulting/support/infra teams in a seamless manner to ensure that the team is getting the right inputs and not blocked in the deliveryWhat’s In It for you:Work on highly complex data science problems that add significant business value to our clients.Guide and showcase your technical leadership to a multidisciplinary team of ML engineers, Data Scientists, and Application Engineers.Collaboration with product management teams - Be a true business partner to the product management team and work closely to build the product road map, prioritize sprint items, and build mutual trust to build a strong product. Have the Assertiveness and EQ to get stuff done while building rapport.Experience a competitive setup where individuals can shape their growth paths.Champion best analytics, data science, and machine learning practices.Desired Skills and Experience:10+ yrs experience in delivering data science solutions / servicesShould be from a Mathematics/Statistics background. The Finance Industry is a plus.Engineering Management/Technology leadership in Machine Learning/AI area/Data Science with strong experience in Technology delivery, engineering processes and tech talent management.Ability to understand business problems, articulate, ideate & converge on solution approach and develop analytical solutions with measurable Business outcomesShould have good exposure to hands on algorithm building; ML/AI model building, product building/usage, setting up engineering teams, building frameworks, playbooks and working with cross functions like Product management, Consulting, Customer value, Sales etc;Hands on development experience in relevant programming languages (Python/R/Spark), cloud platforms (e.g. AWS/AZURE/GCP) and big data systems (e.g. Hadoop, Snowflake)Bachelor’s degree or higher in Data Science, Data analytics or a related quantitative field

Job Description :Role : Director Primary Role : Analytics, Data Science Total Exp : 17-25 Yrs Relevant Exp : 10+ Yrs (Data Science Exp is Must) Sub Relevant Exp on Generative AI, Conversational AI / CPG Analytics 1-3 years Current and Preferred Location : Bangalore - Cloud Exp is Must-AWS/Azure/GCP - Solid knowledge and experience of supervised, unsupervised and reinforcement learning machine learning algorithms. For e.g : classifiers, cluster analysis, dimension reduction, regression, and models CNN, RNN, DQN, GAN, temporal difference methods, sequence modeling, NLP/NLU, word/doc embeddings, collaborative filtering, self-attention, transformers, etc.- Experience with the current state of AI/ML, Large Language Models, and Generative AI Fine-tune language models to specific domains using LLM to improve the accuracy and effectiveness of text-based applications - Build generative AI models that can generate original content, such as text, images, or music Experience with model explainability and interpretability techniques - Experience in machine learning frameworks and tools ( For e.g: scikit-learn, mlr, caret, H2O, TensorFlow,MXNet, Pytorch, Caffe/Caffe2, CNTK, MLlib) - Advanced level programming in SQL and Python/Pyspark to guide teams Lead and manage a team of data scientists and engineers working on generative AI projects Identify and evaluate new AI technologies and tools that could be leveraged for generative AI projects.- Understand the nuances between traditional Machine Learning lifecycle and Generative AI modeling lifecycle - Develop and implement ethical guidelines and standards for AI development and deployment - Stay up to date with the latest research and trends in the field of generative AI and apply them to the company's projects and goals- Communicate effectively with stakeholders at all levels of the organization to explain the benefits and risksof generative AI solutions Nice to have : - Strong hands-on skills for data pipeline orchestration (For e.g: Airflow) - Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. - Multi-task and manage multiple deadlines. - Responsible for incorporating client/user feedback into the Product - Ability to think through complex user scenarios and design simple yet effective user interactions - Good Communication and presentation skills Roles and Responsibilities :- Leadership Help Analytics Insights Practice make a bigger impact in Firms overall positioning in the market - Work closely with Analytics Insight - Practice leadership in leading the team and develop capabilities Sales - Work closely with Practice leadership and clients to build proposals, RFP and accounting for budgetary plans. Project Delivery and Management - Manage communication and project delivery between India and US teams- Manage client proposals, presentations, and act as subject matter expert on analytics discussions - Structure the approach and deliverables for multiple analytics engagements simultaneously- Manage team members proactively - Help junior members develop the analytics path to align with overall project objective- And mentor juniors and team members on analytics and project delivery best practices Help assess the impact of work, and conduct so-what analysis.- Develop storylines and make presentations Firm Building & Intellectual Capital Development - Contribute to research, white papers, blog, and other IC development activities Subject Matter Expert - Keep abreast of market developments, identify growth opportunities - Help Partners/Directors across the firm in selling analytics projects by acting as a subject matter expert on business development initiative Skills Required : - Generative AI Deep learning, GPT Model (ChatGPT), Large language models, NLU/NLP, BERT, Vision API,Cloud Conversational AI Python, ML, AI, NLP, Chatbot, Cloud, Computer vision,Rasa, Dialogflow CPG Analytics Python, ML,AI,Cloud, Visualization (ref:hirist.com)

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.comIndegene is scouting for leaders who can help us write the next chapter of our growth story. We are at the exciting intersection of healthcare and technology and are rapidly growing in a sustainable fashion.We are enabling healthcare organizations be future ready for which we are building new capabilities every day and need employees to build things from scratch for us and take ownership. You will be leading teams and delivering outcomes while working with a purpose-driven organization. We are a passionate team that likes to make a difference with our work in our customers’ lives. We ensure a differentiated career for our employees.About the Role:We are looking for a Data Science Leader who will be a player-coach with ability to “make the complex simple” for a highly skilled team of data scientists and ML engineers. He/ She will work collaboratively with business units and product management function to provide research, development, production support for creating differentiated market offerings, accelerating new solution development, and go-to-market, etc. He/ She will develop and implement a robust strategy for building deep data science capabilities with reliable team of experts, support roles, partnerships, and tools, etc. to deliver complex analytics and ML projects.About the Candidate:HE/ She must be an expert in using advance analytics and ML techniques, data mining and modelling techniques, programming, and knowledge (intuition, theory including maths) for real world business applications. Is passionate about solving important problems which will help people live longer, healthier, and more productive life. Makes intellectual contribution to broader industry through talks and publications. Is a sharp observer of current data science landscape and a hardliner of ethics in data and AI operationalization.Education:Must have a Masters (Ph.D. is desirable) in Engineering, Data Science, Mathematics, Physics, or any other closely related field.Experience:Must have 15-18 years of total experience with at least 10-12 years of highly relevant data science and machine learning experience (any experience of applied research will be extremely valuable for the role). Prior experience in Pharma/ Healthcare domain is preferred. Must have skills:Experience in achieving improvement in LLM performance for tasks such as question answering, information extraction, long-form text generation, and summarization, etc. to enhance its ability to generate outputs that are factually accurate and complete (reduce hallucinations and omissions, etc), especially in medical tasks.He/ she must have skills in prompt tuning and/or fine-tuning Large Language Models (LLMs) using innovative approaches (e.g., chain-of-thought prompting and self-consistency, chunking and conditioning based on local similarity, dialogue resolution, reinforcement learning with human feedback, etc.). Ideal candidate must also be able to create frameworks for evaluation of LLM out-put based on human expert in the loop and quantitative metrics.It is important that the person in this role can apply a combination of machine learning, deep learning, statistical methods, classical algorithms, etc. in areas of forecasting, prediction, attribution, recommendation, user experience measurements, journey orchestration and personalization, etc.Should be able to create fundamental representation of the problem and design suitable experimental methodologies including algorithm selection, data/sample size estimates, training process design, testing and performance metrics, privacy safeguards, etc.Should be conversant in applying different optimization techniques including data mining, and other data driven optimization.Expertise in implementing MLOps for automation (CI/CD/CT) and streamlining of ML workflows for deployment, monitoring and management of ML models in production at scale. Note: Candidates with lesser experience and ability may be considered for PRINCIPAL DATA SCEINTIST (B3) position if they meet minimum requirement. EQUAL OPPORTUNITYIndegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate’s merit and qualification.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.