Lead Data Scientist - Commercial (Seaport MA) at Merck KGaA

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

213200.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Causal Inference, Python, SQL, AWS, Healthcare, Mentorship, Collaboration, Advanced Analytics, Feature Engineering, Marketing Mix Models, GenAI Tools, Communication, Business Acumen, Statistical Analysis

Industry

Pharmaceutical Manufacturing

Description

Work Location: Boston, Massachusetts Shift: Department: HC-NA-HAD2 Data Innovation 1 Recruiter: Rena Ann Peterson This information is for internals only. Please do not share outside of the organization. Your Role: At EMD Serono, data drives everything we do to bring innovative medicines to patients faster. As a Lead Data Scientist, you will shape commercial and medical strategies by analyzing complex datasets and applying advanced analytics and machine learning to generate actionable insights that optimize decisions, uncover opportunities, and improve patient outcomes. Key Responsibilities Collaborate Across Teams: Partner with Commercial, Medical, and IT teams to identify high-impact problems and deliver analytics solutions aligned with business goals. Lead Advanced Analytics: Design, validate, and interpret supervised (regression, classification) and unsupervised models (clustering, dimensionality reduction) to drive decision-making and identify new opportunities. Causal Inference Expertise: Apply causal inference to experimental and observational data to optimize strategy and resource allocation. Scalable AI/ML Solutions: Build scalable AI/ML pipelines for large, high-dimensional datasets. Mentorship and Leadership: Mentor junior data scientists and foster a culture of excellence. Healthcare Expertise: Leverage deep knowledge of US healthcare and pharma commercial landscapes, including claims, EMR data, to deliver impactful solutions. Communication and Influence: Translate complex analytical findings into clear, actionable business recommendations for diverse stakeholders. Who You Are Minimum Qualifications: Master’s degree in Statistics, Data Science, Mathematics, Physics, Econometrics, Operations Research, a related quantitative field, or equivalent work experience. 4+ years of experience as a data scientist in a commercial setting (pharma preferred). Strong expertise in supervised/unsupervised learning, causal inference, hypothesis testing, scalable ML pipelines, and feature engineering. Proficiency in Python (pandas, scikit-learn), SQL, Git, Linux, AWS; experience with large healthcare datasets (claims data a plus) and parquet files. Experience deploying Python-based machine learning models in production using containers and/or shell scripting. Preferred Qualifications: 6 or more years of work experience as a data scientist in a commercial setting (pharma preferred) with a Master’s degree, or 4+ years with a PhD degree. Prior experience with marketing mix models (especially in pharma). US healthcare and pharma commercial expertise strongly preferred. Demonstrated ability to leverage genAI tools and techniques for extracting features from text in a commercial context. Solid business acumen and ability to prioritize high-impact problems aligned with strategic objectives. Strong communication skills with the ability to translate analytical findings into actionable recommendations. Proven ability to collaborate effectively across Commercial, Medical, and IT teams. Experienced in mentoring and guiding junior data scientists in advanced techniques and best practices. Location: Seaport MA, or remote if necessary (must be on EST) Pay range for this position: $142,100 - $213,200 Our ranges are derived from several sources, and largely reliant on relevant industry market data. Should we decide to make an offer, we will consider several factors, including but not limited to your location, skills, experience, career level, and other job-related factors. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; paid time off; and paid holidays; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses. The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law. This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

Responsibilities

As a Lead Data Scientist, you will analyze complex datasets and apply advanced analytics to generate actionable insights. You will collaborate with various teams to identify high-impact problems and deliver analytics solutions that optimize decisions and improve patient outcomes.