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Manager, Advanced Analytics

MSD

Manager, Advanced Analytics

full-timePosted: Dec 8, 2025

Job Description

Categories: Pharmaceutical, Data Analytics, Artificial Intelligence

Job Description

Position Description:

In this position, you will leverage your expertise in data science and AI to design and develop innovative data-driven solutions for solving complex business problems. You will work closely with business stakeholders and technology teams to maximize the value of data, deliver impactful business insights and proactively collect feedback for iteration. This role involves technical leadership and hands-on contributions to exploratory analysis, machine learning modeling, and GenAI applications.

Key Focus Areas:

  • Data-driven decision-making using advanced analytics, especially for pharmaceutical commercial analysis, including channel-mix/marketing mix modeling, next best action etc.
  • Forecasting to enhance business planning and strategy.
  • Collaborate with cross-functional teams to integrate generative AI capabilities into products.

Responsibilities:

1. Project Management and Stakeholder Engagement:

  • Collaborate with stakeholders to understand business needs and translate them into innovative solutions.
  • Act as a subject-matter expert, providing guidance on data science techniques and best practices.

2. Advanced analytics and AI modeling:

  • Perform exploratory analysis and predictive modeling to enhance business planning and strategy.
  • Develop customized algorithms and machine learning approaches to meet specific business requirements.
  • Data-driven decision-making using advanced analytics, especially for pharmaceutical commercial analysis, including channel-mix/marketing mix modeling, next best action etc.
  • Identify generative AI opportunities and integrate the capabilities into company owned products.

3. Collaboration and Implementation

  • Work with cross-functional teams to implement AI/ML solutions in a cloud environment.
  • Ensure the robustness and scalability of data and digital product designs.

4. Analytics Communication:

  • Transform complex data into actionable insights and present findings clearly to both technical and non-technical audiences.
  • Share analytical results with stakeholders to enable data-driven decision-making.

Qualifications:
-Education:
  - Degree in Computer Science, Data Science, or a relevant technical/scientific field.
-Experience:
  - 6-8+ years of experience in a data scientist or analytics role.
  - Proven track record in delivering end-to-end complex data science solutions.
  - Previous experience in pharm or consumer related analysis is a plus.
-Technical Skills:
  - Expertise in data science and predictive analytics approaches.
  - Proficiency with mainstream data analysis tools: Python, R, SAS, Julia.
  - Hands-on experience with cloud-based machine learning tools (e.g., AWS SageMaker, DataIKU).

-Hands-on experience on GenAI applications (Chatbot/Copilot/Summarization…) and latestLLM knowledge
  - Familiarity with AIOps/MLOps and agile product development.

-Soft Skills:
  - Strong project management capabilities, with the ability to lead and execute complex initiatives.
  - Excellent communication skills, with the ability to bridge technical and non-technical audiences.

-Mindset:
  - Curiosity and a passion for staying updated with advancements in artificial intelligence and data science.
  - Ability to identify meaningful business insights and tell compelling data-driven stories.

-Language:
  - Fluent in English.

Required Skills:

Chatbots, Database Design, Data Modeling, Data Science, Machine Learning (ML), Marketing Data Analytics, Predictive Analytics, Python (Programming Language), R Programming, Waterfall Model

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:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

01/31/2026

*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

  • Shanghai, Shanghai, China

Salary

Estimated Salary Rangemedium confidence

94,500 - 154,000 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
  • Machine Learningadvanced
  • Generative AIadvanced
  • Predictive Modelingadvanced
  • Marketing Mix Modelingintermediate
  • Forecastingintermediate
  • Project Managementintermediate

Required Qualifications

  • Expertise in data science and AI (experience)
  • Experience in pharmaceutical commercial analysis (experience)
  • Technical leadership in advanced analytics (experience)
  • Machine learning modeling and GenAI applications (experience)

Responsibilities

  • Collaborate with stakeholders to understand business needs and translate them into innovative data-driven solutions
  • Perform exploratory analysis and predictive modeling to enhance business planning and strategy
  • Develop customized algorithms and machine learning approaches for pharmaceutical commercial analysis including channel-mix and marketing mix modeling
  • Identify generative AI opportunities and integrate capabilities into company products
  • Work with cross-functional teams to implement AI/ML solutions in cloud environments ensuring scalability
  • Transform complex data into actionable insights and present findings clearly to stakeholders

Benefits

  • General: Work closely with business stakeholders and technology teams on impactful projects
  • Professional: Technical leadership opportunities in advanced analytics and AI
  • Career: Collaboration with cross-functional teams in a global pharmaceutical leader
  • Development: Hands-on contributions to innovative GenAI applications and data products

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MSD logo

Manager, Advanced Analytics

MSD

Manager, Advanced Analytics

full-timePosted: Dec 8, 2025

Job Description

Categories: Pharmaceutical, Data Analytics, Artificial Intelligence

Job Description

Position Description:

In this position, you will leverage your expertise in data science and AI to design and develop innovative data-driven solutions for solving complex business problems. You will work closely with business stakeholders and technology teams to maximize the value of data, deliver impactful business insights and proactively collect feedback for iteration. This role involves technical leadership and hands-on contributions to exploratory analysis, machine learning modeling, and GenAI applications.

Key Focus Areas:

  • Data-driven decision-making using advanced analytics, especially for pharmaceutical commercial analysis, including channel-mix/marketing mix modeling, next best action etc.
  • Forecasting to enhance business planning and strategy.
  • Collaborate with cross-functional teams to integrate generative AI capabilities into products.

Responsibilities:

1. Project Management and Stakeholder Engagement:

  • Collaborate with stakeholders to understand business needs and translate them into innovative solutions.
  • Act as a subject-matter expert, providing guidance on data science techniques and best practices.

2. Advanced analytics and AI modeling:

  • Perform exploratory analysis and predictive modeling to enhance business planning and strategy.
  • Develop customized algorithms and machine learning approaches to meet specific business requirements.
  • Data-driven decision-making using advanced analytics, especially for pharmaceutical commercial analysis, including channel-mix/marketing mix modeling, next best action etc.
  • Identify generative AI opportunities and integrate the capabilities into company owned products.

3. Collaboration and Implementation

  • Work with cross-functional teams to implement AI/ML solutions in a cloud environment.
  • Ensure the robustness and scalability of data and digital product designs.

4. Analytics Communication:

  • Transform complex data into actionable insights and present findings clearly to both technical and non-technical audiences.
  • Share analytical results with stakeholders to enable data-driven decision-making.

Qualifications:
-Education:
  - Degree in Computer Science, Data Science, or a relevant technical/scientific field.
-Experience:
  - 6-8+ years of experience in a data scientist or analytics role.
  - Proven track record in delivering end-to-end complex data science solutions.
  - Previous experience in pharm or consumer related analysis is a plus.
-Technical Skills:
  - Expertise in data science and predictive analytics approaches.
  - Proficiency with mainstream data analysis tools: Python, R, SAS, Julia.
  - Hands-on experience with cloud-based machine learning tools (e.g., AWS SageMaker, DataIKU).

-Hands-on experience on GenAI applications (Chatbot/Copilot/Summarization…) and latestLLM knowledge
  - Familiarity with AIOps/MLOps and agile product development.

-Soft Skills:
  - Strong project management capabilities, with the ability to lead and execute complex initiatives.
  - Excellent communication skills, with the ability to bridge technical and non-technical audiences.

-Mindset:
  - Curiosity and a passion for staying updated with advancements in artificial intelligence and data science.
  - Ability to identify meaningful business insights and tell compelling data-driven stories.

-Language:
  - Fluent in English.

Required Skills:

Chatbots, Database Design, Data Modeling, Data Science, Machine Learning (ML), Marketing Data Analytics, Predictive Analytics, Python (Programming Language), R Programming, Waterfall Model

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:

No relocation

VISA Sponsorship:

No

Travel Requirements:

No Travel Required

Flexible Work Arrangements:

Not Applicable

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

N/A

Job Posting End Date:

01/31/2026

*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

  • Shanghai, Shanghai, China

Salary

Estimated Salary Rangemedium confidence

94,500 - 154,000 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
  • Machine Learningadvanced
  • Generative AIadvanced
  • Predictive Modelingadvanced
  • Marketing Mix Modelingintermediate
  • Forecastingintermediate
  • Project Managementintermediate

Required Qualifications

  • Expertise in data science and AI (experience)
  • Experience in pharmaceutical commercial analysis (experience)
  • Technical leadership in advanced analytics (experience)
  • Machine learning modeling and GenAI applications (experience)

Responsibilities

  • Collaborate with stakeholders to understand business needs and translate them into innovative data-driven solutions
  • Perform exploratory analysis and predictive modeling to enhance business planning and strategy
  • Develop customized algorithms and machine learning approaches for pharmaceutical commercial analysis including channel-mix and marketing mix modeling
  • Identify generative AI opportunities and integrate capabilities into company products
  • Work with cross-functional teams to implement AI/ML solutions in cloud environments ensuring scalability
  • Transform complex data into actionable insights and present findings clearly to stakeholders

Benefits

  • General: Work closely with business stakeholders and technology teams on impactful projects
  • Professional: Technical leadership opportunities in advanced analytics and AI
  • Career: Collaboration with cross-functional teams in a global pharmaceutical leader
  • Development: Hands-on contributions to innovative GenAI applications and data products

Target Your Resume for "Manager, Advanced Analytics" , MSD

Get personalized recommendations to optimize your resume specifically for Manager, Advanced Analytics. Takes only 15 seconds!

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

Check Your ATS Score for "Manager, Advanced Analytics" , 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 AnalyticsArtificial Intelligence

Answer 10 quick questions to check your fit for Manager, Advanced Analytics @ MSD.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.