Associate Specialist Data Science

Primary Responsibilities Support in establishing frameworks to standardize, productize and scale existing and new capabilities / analytical solutions Implement the vision, roadmap, and best practices for the Data Science Center of Excellence ( CoE ) to align with business goals Support establishing governance frameworks to measure the value of products, standardize data science methodologies, coding practices, and project workflows Work with senior CoE members in development and maintenance of best practices for model and algorithm development and design, deployment, and monitoring across the enterprise functions Collaborate with product team on product development incorporating Agile framework and latest industry best practices and norms Support in development of MLOps and ModelOps frameworks to streamline the development-to-deployment product pipeline Drive innovation by identifying, evaluating, and implementing cutting-edge data science methodologies based on latest published literature Qualifications Education & Work Experience Requiremen ts: Master s degree (relevant field like Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience. Bachelor s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3 + years relevant experience Prior experience in research publications in reputed journal is a plus Skillset: Candidates must have - Strong programming skills in languages such as Python or R, and SQL with experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, stats models) Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Exposure to product roadmaps, Agile methodologies and backlog management, ensuring iterative and incremental product improvements Strong problem solving, business analysis and quantitative skills Ability to effectively communicate proposals to key stakeholders Candidates are desired but not mandatory to have - Experience and familiarity with underlying concepts such as Patient analytics, MMx etc. Understanding of Pharma commercial landscape will be a plus Experience working with healthcare, financial, or enterprise SaaS products Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Not Applicable Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model