Manager Data Science

Job Description

Manager Data Science

Key Responsibilities

• Designs machine learning systems and software to automate predictive model
• Transforms data science prototypes and applying appropriate ML algorithms and tools
• Develops ML algorithms to analyze large volumes of historical data to make predictions
• Establishes and manages the close relationship with customers/stakeholders
• Selects analytical techniques and model methods best to solve business problems
• Ensures best practices sharing and cross the organization
• Enables delivery of data-analytics and data science projects. Have deep knowledge of the company's supported technology; understand the whole complexity/dependencies between multiple teams, platforms (people, technologies)
• Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem
• Understands the customer/stakeholders business needs/priorities and helps building solutions that support our business goals
• Participates in “community of practice” leveraging experience from delivering complex analytics projects

Skills

• Machine Learning
• Generative AI
• NLP
• Prompt Engineering
• Software Development
• Testing
• Software Development Lifecycle (SDLC)
• Design Applications
• AWS / GCP / Azure
• Data Engineering

Specializations

• AI/ML (Machine Learning, Data Engineering, Data Science)
• Gen AI

Minimum Qualifications:

• Bachelor’s degree with 5-7 years industry experience 

  
  

• Proficiencyin Python/R & SQL

  
  

• Experience in healthcare analytics or consulting sectors 

  
  

• Experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc.

  
  

• Experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.)

  
  

• Experience in leading small sized teams

  
  

• Strong Python/R, SQL, Excel skills

  
  

• Strong foundations of statistics and machine learning

  
  

Preferred Qualifications:

• Advanced degree in STEM(MS, MBA, PhD)

  
  

• Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics

  
  

• Knowledge of statistics, data science and machine learning & commercial pharma

  
  

• Experience of supporting End to End Project Management

  
  

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):

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:

04/30/2025

*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.