Spclst. , Data Science

Job Description

Manager, Data Science

At our company, we are leveraging analytics and technology as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats. Within our commercial Insights, Analytics, and Data organization, we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management.

Responsibilities

• Responsible for one/multiple therapy areas – demonstrating strong pharmaceutical knowledge and end-to-end project management capability

  
  
  

• Conceptualize and deliver forecasts and analytical solutions, using both strategic and statistical techniques within area of responsibility

  
  
  

• Determine the optimal forecasting method considering forecast context, data availability, desired accuracy, and timeline

  
  
  

• Leverage machine learning algorithms, automation, and data visualization to improve forecasting processes and outputs

  
  
  

• Drive continuous enhancements to evolve forecasting capabilities in terms of value-add, risk/opportunity/uncertainty – identifying and elevating key levers, insights, and findings to inform decision-making

  
  
  

• Drive innovation and automation to bring robustness and efficiency gains across forecasting processes; incorporate best-in-class statistical methods to improve accuracy

  
  
  

• Contribute to evolving team offerings through innovation, standardization, and automation of models and processes

  
  
  

• Collaborate across stakeholders – Supply Chain, Human Health, our manufacturing division, Finance, Research, Country/Regional/Global Demand Planners, and senior leadership – to build robust assumptions, drive centralization of forecasts, and ensure forecast accuracy improves over time

  
  
  

• Communicate effectively and independently drive storyboarding and presentation of analytical findings and visualizations to technical, non-technical, and executive audiences

  
  
  

• Manage delivery of forecasts and forecasting capabilities/tools in a timely manner with allocated resources

  
  
  

• Ensure documentation is created and maintained in line with internal standards

  
  
  

• Empower a growth mindset and inspire a culture of continual learning that strives for greater quality, efficiency, and innovation, ultimately improving team productivity and work product

  
  
  

Qualifications

Required

• Engineering / Management / Pharma post-graduates with 3+ years of experience in relevant roles; with 1-2 years of experience in pharmaceutical strategic forecasting or analytics

  
  
  

• Solid understanding of the pharmaceutical industry, including drug development, manufacturing, supply chain, marketing functions, regulatory requirements, and clinical trial data

  
  
  

• Excellent business acumen, with the ability to understand commercial strategies at both global and region/country levels – and translate these into detailed business requirements that power analytics

  
  
  

• Strong analytical and problem-solving skills with an aptitude for strategic thinking; ability to synthesize complex information into clear and actionable insights to solve ambiguous business problems

  
  
  

• Strategic thinker who can be consultative, collaborative, and "engage as equals"

  
  
  

• Ability to manage ambiguous environments and adapt to changing business needs

  
  
  

• Proven ability to collaborate effectively across large, diverse, and cross-functional stakeholder groups

  
  
  

• Excellent communication skills, capable of presenting analytical findings to technical, non-technical, and executive audiences using effective storytelling grounded in insights

  
  
  

• Working knowledge of Monte Carlo simulations and range forecasting

  
  
  

• Proficiency in developing machine learning and descriptive algorithms using Python, R, SAS, or equivalent; ability to formulate business questions based on stakeholder insight requirements

  
  
  

Preferred

• Demonstrated value in driving innovation and automation leveraging advanced statistical and analytics techniques; expertise in AI/ML, NLP modeling, and model evaluation is an added advantage

  
  
  

This document contains AI-generated content.

Required Skills:

Business Development, Business Intelligence (BI), Business Management, Clinical Trials, Commercial Strategies, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Decision Making, Drug Development, Foster Innovation, Machine Learning (ML), Pharmaceutical Development, Regulatory Requirements, Software Development, Stakeholder Relationship Management, Strategic Forecasting, Strategic Thinking, 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:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

05/31/2026

*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.