Associate Manager Data Science

Merck & Co.

Education
Benefits
Skills

Job Description

Associate Manager 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 Requirements: 

  • 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.

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

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

  • 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.
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Confirmed 14 hours ago. Posted 30+ days ago.

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