Job Description

Associate Manager Data Science
Primary Responsibilities
xc2xb7Support product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions
xc2xb7Support defining and monitoring Product Success metric at incremental product development phases
xc2xb7Participate 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
xc2xb7Effectively communicate progress, challenges, learning to key stakeholders
xc2xb7Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams
xc2xb7Support design and development of benchmark techniques being deployed across multiple product development strategies
xc2xb7Work 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
xc2xb7Support in identification of cutting-edge trends and best practices in the market to improve product positioning
Qualifications
Education & Work Experience Requirements:

• Bachelors degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience

• Masters 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.

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: 03/20/2025
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