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Data Science Associate Jobs in Boston, MA (NOW HIRING)

Chewy

Associate Director, Data Science

Boston, MA

Your Opportunity Chewy is seeking an innovative and strategic Associate Director, Data Science to lead our growing Customer Care AI and Advanced Analytics organization. In this role, you will lead a ...

Manulife

Associate Data Scientist

Boston, MA · Hybrid

$80.63K - $134.38K/yr

We are seeking a motivated Associate Data Scientist to join the Long Term Care (LTC) Fraud, Waste ... Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering ...

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$62.5K

$73.9K

$140.1K

How much do data science associate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science associate in Boston, MA is $73,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $64,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

Is data science dead in 10 years?

Data Science Associate roles are expected to remain relevant in the next decade as organizations continue to rely on data-driven decision making. Advances in automation and AI may change some tasks, but skills in statistical analysis, programming, and machine learning will still be valuable for interpreting complex data. Continuous learning and adapting to new tools like Python, R, and cloud platforms will be important for future success in the field.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Boston, MA? The most popular types of Data Science jobs in Boston, MA are:
What are popular job titles related to Data Science Associate jobs in Boston, MA? For Data Science Associate jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Boston, MA look for? The top searched job categories for Data Science Associate jobs in Boston, MA are:
What cities near Boston, MA are hiring for Data Science Associate jobs? Cities near Boston, MA with the most Data Science Associate job openings:
Data Science Associate jobs near you
Associate Director, Enterprise Data Science (Staff Data Scientist)

Associate Director, Enterprise Data Science (Staff Data Scientist)

Alkermes

Waltham, MA • On-site

$63.70K - $64.20K/yr

Full-time

Posted 22 days ago

Job description

Job Description
Position Summary
As an Associate Director within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities across the enterprise 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 foundation in AI-driven operations analytics across the pharmaceutical value chain - including supply chain, manufacturing, quality, EH&S, and business process excellence; inquisitive data science skills; clear and compelling communication skills; an exceptional sense of ownership and accountability; and experience in the pharmaceutical or health-related industry.
This role is based in our Waltham location and would work a hybrid weekly office schedule.
Responsibilities
Key Responsibilities
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 agentic AI applications and predictive ML models
  • Develop pilot operations planning and optimization use cases using established operations research methodologies, with a focus on validation, impact, and scalable deployment
  • 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

Stakeholder Engagement and Collaboration
  • Act as a key partner to cross-functional teams, providing technical and strategic guidance in the design, development, and implementation of digital products, optimization tools, and AI-driven solutions
  • Serve as a trusted advisor to stakeholders helping them understand INDIGO's capabilities and guiding them in translating complex business challenges into high-impact data science use cases
  • Facilitate structured discovery and problem-framing sessions to identify root causes, uncover operational inefficiencies, and prioritize opportunities where AI/ML, optimization, or automation can drive measurable value
  • Collaborate closely with domain experts to ensure models and solutions reflect real-world constraints and operational realities
  • Influence decision-making through clear, actionable communication, synthesizing complex analytical results into insights that resonate with both technical and non-technical audiences
  • Champion change management and adoption, ensuring stakeholders understand, trust, and effectively integrate new AI/ML tools into their workflows
  • Build long-term partnerships with business owners, fostering ongoing collaboration, feedback loops, and continuous improvement for products and models in production

Lead the Development of Data Science Capabilities
  • Design and build production-grade digital tools, reusable frameworks, and scalable AI/ML platforms that drive operational performance and enterprise efficiency while establishing consistent, reusable foundations for all current and future AI applications
  • 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
  • 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

Functional Ownership of Digital Products
  • Bring end-to-end product lifecycle management mindset to INDIGO initiatives, with a clear focus on optimizing long-term value of developed products and capabilities
  • Take ownership of INDIGO products within the operations domain, ensuring products' reliability, scalability, and continued business relevance. Play a key role in shaping portfolio strategy by contributing expert judgment and nuanced thinking on the direction, growth, and integration of the products they own
  • Mentor and develop the talent supporting their product portfolio, fostering a collaborative and continuously learning team environment

Qualifications
Basic Qualifications
Education
  • Master's degree in Data Science, Operations Research, Industrial Engineering, Computer Science, Statistics, or related field
  • Ph.D. preferred

Experience
  • 10+ years building and deploying advanced analytics, operations research, or machine learning/AI solutions with measurable value impact
  • Experience solving Operations-focused problems (e.g., supply chain analytics, logistics optimization, manufacturing performance, inventory modeling) within pharmaceutical domain strongly preferred

Technical Skills
  • Proficiency in production programming in languages such as Python and SQL. Comfort with foundational ML and AI libraries such as pandas, Numpy, scikit-learn, etc. is required. Experience with optimization tools (e.g., OR-Tools, Gurobi, Pyomo) is a strong plus.
  • Familiarity with cloud computing and ML platforms - AWS platform required; Snowflake experience preferred. Prior experience with use of AI tools in code development and management workflows is a plus.
  • Strong knowledge of ML algorithms, LLMs, statistical analysis techniques, and end-to-end MLOps management.
  • Experience with data pipelines, data governance, and engineering best practices (DBT experience preferred).

Core Competencies
  • Proven ability to design and implement high-quality end-to-end data science and GenAI solutions, from conceptualization and discovery through to tangible value delivery to the business
  • Strong problem solving and analytical skills, with an aptitude for technical and stakeholder management innovation
  • Strong leadership and project management skills, with experience mentoring junior data scientists
  • Excellent communication and interpersonal skills to collaborate effectively across cross-functional teams and get buy-in from stakeholders with a wide spectrum of technical proficiency
  • Strong organizational skills, with experience managing multiple projects and competing priorities and ambiguities in a fast-paced environment

Preferred Qualifications
  • Experience in pharmaceutical, biotech, or healthcare industries.
  • Familiarity with regulatory and compliance standards (e.g., HIPAA).
  • Exposure to GenAI innovation and simulation modeling.
  • Ability to work a weekly hybrid schedule in our Waltham office.

The annual base salary for this position ranges from $158,000 to $180,000. In addition, this position is eligible for an annual performance pay bonus. Exact compensation may vary based on skills, training, knowledge, and experience. Alkermes offers a competitive benefits package. Additional details can be found on our careers website: www.alkermes.com/careers#working-here
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About Us
Why join Team Alkermes?
Alkermes applies its decades of deep neuroscience expertise to develop medicines designed to help people living with complex and difficult-to-treat psychiatric and neurological disorders. A global biopharmaceutical company, headquartered in Ireland with U.S. locations in Massachusetts and Ohio, we seek to make a meaningful difference in the way people manage their diseases. We have a portfolio of proprietary commercial products for the treatment of alcohol dependence, opioid dependence, schizophrenia, bipolar I disorder and narcolepsy, and a pipeline of clinical and preclinical candidates in development for various psychiatric and neurological disorders.
We are proud to have been recognized as an employer of choice by many national organizations. In 2024 and 2025, we were certified as a Great Place to Work in the U.S. and named one of Massachusetts' Top Places to Work by the Boston Globe, a Best Place to Work in Greater Cincinnati by the Cincinnati Business Courier and recognized as a Best Place to Work in BioPharma by Fortune Magazine.
Alkermes, Inc. is an equal employment opportunity employer and does not discriminate against any qualified applicant or employee because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, gender expression and identity, disability, genetic information, veteran status, military status, application for military service or any other characteristic protected by local, state or federal law. Alkermes also complies with all work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Alkermes is an E-Verify employer.

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