Associate Specialist Data Science

Job Description

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 Requirements:

• 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

Required Skills:

Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

12/17/2025

• A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID:R341751