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Data Science Product Manager

MSD

Data Science Product Manager

full-timePosted: Jan 23, 2026

Job Description

Categories: Pharmaceutical, Data Science, Product Management

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, Lítačka, 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:

Accountability, Agile Application Development, Asset Management, Benefits Management, Big Data, Business Processes, Business Process Modeling, Cloud Automation, Communication, Computer Science, Data Engineering, IT Demand Management, Machine Learning Operations, Management System Development, Product Development, Product Management, Product Prioritization, Requirements Management, Software Product Management, 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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/9/2026

*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.

Locations

  • Prague, Central Bohemian, Czechia

Salary

Estimated Salary Rangemedium confidence

78,750 - 121,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceadvanced
  • Product Managementadvanced
  • Stakeholder Managementintermediate
  • Business Process Documentationintermediate
  • User Journey Analysisintermediate
  • Critical Thinkingadvanced

Required Qualifications

  • University degree (degree)
  • Minimum 5 years in analyst or product role (experience)
  • Open, receptive, curious, and persistent communicator (experience)
  • Critical thinker balancing stakeholder needs (experience)

Responsibilities

  • Apply structured approach to discover, document, and manage business processes, user and stakeholder needs including opportunity statements, use cases, insights, and requirements
  • Gather insights into user journey, behavior, motivation, and pain points; expose unarticulated problems and unmet needs
  • Document business processes and user needs as problem statements for backlog; facilitate 'how' with Engineering team
  • Gain expertise in the business area and leverage insights for solutioning ideas and prioritization
  • Introduce and inspire change at all stages of product development; engage engineering and support teams
  • Interact with stakeholders to uncover needs, support product discovery, planning, testing, training, and user communication

Benefits

  • General: Work on innovative data and analytics platform for Real World Data insights
  • General: Collaborative environment fostering new ideas and evidence-based decisions
  • General: Opportunity to gain deep business area expertise and leverage IT communities
  • General: Support from Lead Product Manager in high-impact pharmaceutical R&D projects

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MSD logo

Data Science Product Manager

MSD

Data Science Product Manager

full-timePosted: Jan 23, 2026

Job Description

Categories: Pharmaceutical, Data Science, Product Management

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, Lítačka, 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:

Accountability, Agile Application Development, Asset Management, Benefits Management, Big Data, Business Processes, Business Process Modeling, Cloud Automation, Communication, Computer Science, Data Engineering, IT Demand Management, Machine Learning Operations, Management System Development, Product Development, Product Management, Product Prioritization, Requirements Management, Software Product Management, 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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/9/2026

*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.

Locations

  • Prague, Central Bohemian, Czechia

Salary

Estimated Salary Rangemedium confidence

78,750 - 121,000 USD / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Scienceadvanced
  • Product Managementadvanced
  • Stakeholder Managementintermediate
  • Business Process Documentationintermediate
  • User Journey Analysisintermediate
  • Critical Thinkingadvanced

Required Qualifications

  • University degree (degree)
  • Minimum 5 years in analyst or product role (experience)
  • Open, receptive, curious, and persistent communicator (experience)
  • Critical thinker balancing stakeholder needs (experience)

Responsibilities

  • Apply structured approach to discover, document, and manage business processes, user and stakeholder needs including opportunity statements, use cases, insights, and requirements
  • Gather insights into user journey, behavior, motivation, and pain points; expose unarticulated problems and unmet needs
  • Document business processes and user needs as problem statements for backlog; facilitate 'how' with Engineering team
  • Gain expertise in the business area and leverage insights for solutioning ideas and prioritization
  • Introduce and inspire change at all stages of product development; engage engineering and support teams
  • Interact with stakeholders to uncover needs, support product discovery, planning, testing, training, and user communication

Benefits

  • General: Work on innovative data and analytics platform for Real World Data insights
  • General: Collaborative environment fostering new ideas and evidence-based decisions
  • General: Opportunity to gain deep business area expertise and leverage IT communities
  • General: Support from Lead Product Manager in high-impact pharmaceutical R&D projects

Target Your Resume for "Data Science Product Manager" , MSD

Get personalized recommendations to optimize your resume specifically for Data Science Product Manager. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Science Product Manager" , MSD

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

MSDMerckPharmaPharmaceuticalData ScienceProduct Management

Answer 10 quick questions to check your fit for Data Science Product Manager @ MSD.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.