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

Current Employees apply
Current Contingent Workers apply
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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):
Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model
Preferred Skills:
Job Posting End Date: 06/12/2025
*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.