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Data Science Jobs in Dedham, MA (NOW HIRING)

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

Chubb

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as ...

PaxeraHealth

Data Science Developer

Newton Center, MA · Remote

The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making ...

Lutron Electronics Co., Inc

Data Scientist

Boston, MA · On-site

$120K/yr

Contribute to end-to-end data science projects that improve product performance, customer experience, and operational efficiency, applying your strong analytical thinking and problem-solving skills.

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All JobsData Science JobsData Science Jobs in Dedham, MA

Data Science information

See Dedham, MA salary details

$38.5K

$126.1K

$201.8K

How much do data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science in Dedham, MA is $126,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,700.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Dedham, MA? For Data Science jobs in Dedham, MA, the most frequently searched job titles are:
What cities near Dedham, MA are hiring for Data Science jobs? Cities near Dedham, MA with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Dedham, MA as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 14% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $126,077 per year, or $60.6 per hour.

Associate Director, Enterprise Data Science (Staff Data Scientist)

Alkermes

Waltham, MA • On-site

$63K - $64K/yr

Full-time

Re-posted 4 days ago

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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