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Associate Director, Enterprise Data Science

Alkermes
United Statesfull_timeVerifiedPosted 11 Jun 2025

About the role

Senior Data Scientist
(Associate Director) 

 

JOB DESCRIPTION 

Position Summary 

As a Senior Data Scientist within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. This is a hands-on role where you will develop and implement cutting-edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent data science and visualization skills, good communication skills, an exceptional sense of ownership and accountability in their work,  and experience in the pharmaceutical or health related industry. This role is based in our Waltham location and would work a hybrid office schedule. 

 

RESPONSIBILITIES 

Key Responsibilities 

Lead the Development of Data Science Capabilities 

Design and build advanced digital tools, frameworks, and platforms that drive organizational efficiency and scalability 

Lead and manage high-impact data science initiatives across the organization, including scope, timelines, and resource needs  

Evangelize and contribute to scaled adoption of ML and AI capabilities across the organization 

Stay updated with advancements in data science and integrate emerging technologies into solutions where applicable 

Support and Scale Data Science Use Cases 

Develop and deploy complex analytical models and insights to inform strategic decisions 

Implement data science solutions, including but not limited to predictive models, NLP, and GenAI applications 

Scale proof-of-concept data science ideas and products into maintainable production software services; Leverage best practices for production-ready code development and DevOps to build solutions that are stable, efficient, and scalable 

Track and report progress on data science initiatives while accounting for shifting priorities and timelines to ensure alignment with strategic objectives 

Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility 

Stakeholder Engagement and Collaboration 

Act as a key partner to cross-functional teams, providing technical leadership in the design and implementation of digital products. 

Act as a trusted advisor, educating stakeholders on INDIGO value offerings and application of team capabilities to their unique business needs 

Communicate insights and recommendations to senior leadership 

Functional Ownership of Digital Products 

Lead the maintenance, enhancement, and governance of digital products under the team’s ownership 

Take functional ownership of data science tools and products, ensuring their reliability, scalability, and continued business relevance. 

Mentor junior team members and foster a culture of continuous learning and collaboration. 

QUALIFICATIONS 

Basic Qualifications: 

Education 

Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D preferred. 

5-7 years of experience in data science, with a proven track record of delivering impactful solutions 

Technical Skills 

Proficiency in production programming in languages such as Python and SQL. Comfort with pandas, Numpy, scikit-learn, and PyTorch libraries is required. Experience with graph databases (e.g. Neo4J) is a plus 

Hands-on experience with data visualization tools – Tableau and ReactJS/D3 preferred. 

Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred 

Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management.  

Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAI

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Company

Alkermes

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