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

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed drug development. We are seeking an experienced Data Science leader to advance data-driven drug ...

MSD Malaysia

Associate Director, Data Science

Boston, MA · On-site

$160 - $251/hr

The Translational Genome Analytics group within the Data, AI & Genome Sciences Department is recruiting an Associate Director (Associate Principal Scientist) to join our data science team. We are ...

Biogen

Associate Director, AI/Data Science

Cambridge, MA · On-site

$176K - $242K/yr

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic adoption of advanced analytics, machine learning, and generative AI across pharmacovigilance ...

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All JobsData Science Associate JobsData Science Associate Jobs in Burlington, MA

Data Science Associate information

See Burlington, MA salary details

$62.6K

$74K

$140.4K

How much do data science associate jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science associate in Burlington, MA is $74,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $64,700.00 per year, depending on experience, location, and employer.

What is a data science associate?

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.

What are the key skills and qualifications needed to thrive as a data science associate?

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 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 can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What job categories do people searching Data Science Associate jobs in Burlington, MA look for?

The top searched job categories for Data Science Associate jobs in Burlington, MA are:

What cities near Burlington, MA are hiring for Data Science Associate jobs?

Cities near Burlington, MA with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Burlington, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,035 per year, or $35.6 per hour.

Smart Contract Engineer Data Science Associate

Unchain Data

Boston, MA • On-site

$140 - $285/hr

Other

Medical, Retirement, PTO

Posted 4 days ago

Key responsibilities

  • Architect and oversee the development of blockchain‑based systems and smart contracts across EVM, Solana, and Cosmos SDK platforms

  • Lead technical design and implementation of crypto infrastructure, including secure deployment pipelines, testing frameworks, and audit processes

  • Collaborate with quant researchers and data scientists to integrate blockchain data into predictive models, optimization engines, and trading algorithms

Job description

About the Role

We are seeking a highly skilled and technically driven individual with deep expertise in blockchain engineering and applied data science to join Fidelity Digital Asset Management. This role is ideal for a hands‑on expert who thrives in architecting and deploying advanced blockchain solutions, smart contracts, and quantitative models that support Research, Trading, Risk, and Operations. You will serve as a senior technical authority, driving innovation and ensuring the robustness of our digital asset infrastructure.

Responsibilities
  • Architect and oversee the development of blockchain‑based systems and smart contracts across EVM, Solana, and Cosmos SDK platforms
  • Lead technical design and implementation of crypto infrastructure, including secure deployment pipelines, testing frameworks, and audit processes
  • Collaborate with quant researchers and data scientists to integrate blockchain data into predictive models, optimization engines, and trading algorithms
  • Conduct deep technical reviews and audits of smart contracts, ensuring security, scalability, and compliance with DeFi standards
  • Evaluate and implement emerging technologies, protocols, and tooling to enhance Fidelity's digital asset capabilities
  • Serve as a technical liaison across engineering, trading, and risk teams to ensure seamless integration of blockchain systems into core workflows
Requirements
  • 4+ years of hands‑on experience in blockchain engineering, smart contract development, or crypto infrastructure, with a strong track record of technical delivery
  • Deep understanding of EVM/SVM architecture, token standards (ERC-20, ERC-721, SPL), and DeFi primitives
  • Proficiency in multiple programming languages including Python, Solidity, and JavaScript/TypeScript
  • Experience with smart contract frameworks and tools such as Hardhat, Truffle, OpenZeppelin, Mythril, and Ganache
  • Strong background in quantitative modeling, data science, or financial engineering, with experience applying models to trading or risk systems
  • Proven ability to lead complex technical projects and mentor senior engineers in a collaborative, high‑performance environment
About the Team

Fidelity Digital Asset Management [FDAM] is building an investment platform offering digital asset products and services designed to meet the growing needs of Fidelity's retail customers and intermediary and institutional clients. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services. Project examples include integration of vendor infrastructure, constructing models or tools, building automation across technologies, and portfolio or business analytics.

Compensation

The base salary range for this position is $140,000-$285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Benefits

We offer a wide range of benefits including comprehensive health care coverage, emotional well‑being support, market‑leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career.

Work Location

Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. Located at 245 Summer St, Boston MA, United States.

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