Job Description

Associate Specialist Data Science

Primary Responsibilities

Support product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions Support defining and monitoring Product Success metric at incremental product development phases Participate in cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate progress, challenges, learning to key stakeholders Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams Support design and development of benchmark techniques being deployed across multiple product development strategies Work with other members in team to create and present comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Support in identification of cutting-edge trends and best practices in the market to improve product positioning

Qualifications

Education & Work Experience Requiremen

ts:

Bachelor's degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Master's degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience 1+ Years of Product management or Software development experience

Skillset:

Candidates must have -

Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus*
Understanding of Software Development Lifecycle and Agile methodologies Exposure to product roadmap design and product management Understanding of data structure, pipeline & architecture Strong problem solving, business analysis and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Understanding of analytics tools like Tableau, PowerBI, Dataiku etc
Candidates are desired but not mandatory to have -

Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Understanding of Pharma commercial landscape will be a plus Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc.

Required Skills:

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

Preferred Skills:

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Search Firm Representatives Please Read Carefully

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:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

12/21/2025

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:

R365247