Data Science Product Manager

Job Description

The Position

We are looking for a highly motivated Product Manager with a strong data science background to work together with us on a data and analytics platform aimed at increasing time to insight from Real World Data. The Product Manager interacts directly with stakeholders to uncover and communicate user needs and assist in product discovery activities. They provide close support to the Lead Product Manager so that what gets built is both valuable and viable. They are instrumental in planning, designing, and conducting testing activities, engaging engineering and supporting teams, and compiling critical content for training and user communication.

What will you do

• Apply a structured approach to discover, document, and manage business processes, user and stakeholder needs, including opportunity statements, use cases, insights, and requirements. 

• Gather insight into user journey, behavior, motivation, and pain points. Exposes unarticulated problems and unmet needs.

• Document business processes, business and user needs in the form of problem statements to make up the backlog. Facilitates the “how” with the Engineering team. 

• Gain expertise in the business area. 

• Leverage business and user insight to help inform solutioning ideas and prioritization decisions to deliver valuable products. 

• Get knowledge of and leverage existing solutions to benefit their stakeholders. through using IT communities. 

• Introduces and inspires change at all stages of product development.

Qualifications, skills & experience required

• University degree.

• Minimum of 5 years’ experience in an analyst or product role.

• Open and receptive to listening. Asks thoughtful questions. Curious and persistent. Able to discern pain points and simplify complex problems.

• Critical thinker who can effectively balance the needs of stakeholders and users. Embraces new ideas and evidence and fosters a collaborative atmosphere. 

• Able to adapt to rapidly changing technology and apply it to business needs. 

• Strong business acumen, and easy rapport with peers and executives.

• Adept at managing diverse relationships across expertise, geography, and culture, regardless of organizational hierarchy. 

• Solid communication skills including facilitation of live or virtual meetings, meeting/workshop management, written communication, and presentation skills.

• Previous experience with agile software development.

• Knowledge of data science concepts, RESTful APIs, HTTP requests, JSON, and data exchange formats. 

• Understanding of data modeling, data engineering, and ETL processes. 

• Familiarity with programming in R and/or Python.

• Experience in package management, dependency tracking, and version control systems. 

• Knowledge of cloud automation and orchestration tools.

Nice to have

• Exposure to the pharmaceutical industry or a different, highly regulated industry.

• Proficiency in MLOps tools (Databricks, SageMaker), CI/CD practices, and monitoring solutions. 

• Familiarity with big data technologies (e.g., Hadoop, Spark). 

• Knowledge of machine learning algorithms.

What we offer

• Exciting work in a great team, global projects, international environment 

• Opportunity to learn and grow professionally within the company globally 

• Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases) 

• Pension and health insurance contributions 

• Internal reward system plus referral programme 

• 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution 

• Cafeteria for tax free benefits according to your choice (meal vouchers, sport, culture, health, travel, etc.), Multisport Card 

• Vodafone, Raiffeisen Bank and Foodora discount programmes

• Up-to-date laptop and iPhone 

• Parking in the garage, showers, refreshments, massage chairs, library, music corner 

• Competitive salary, incentive pay, and many more 

Ready to take up the challenge? Apply now! 
Know anybody who might be interested? Refer this job!

Required Skills:

Asset Management, Benefits Management, Big Data, Biological Sciences, Business Acumen, Business Processes, Business Process Modeling, Cloud Automation, IT Demand Management, Life Science, Management System Development, Product Development, Product Management, Product Prioritization, Requirements Management, RESTful APIs, Stakeholder Relationship Management, Strategic Planning, System Designs, Technology Adaptation

Preferred Skills:

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:

Domestic

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

06/24/2026

*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.