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

Associate Principal Scientist, PharmaR&D

Boston, MA · On-site

$64K - $64K/yr

Associate Principal Scientist, PharmaR&D Boston, MA | New York City, NY | Chicago, IL Are you ... Work with Research, Engineering & Data Science teams across Tempus' expansive data science ...

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

Position Description Associate Staff - Data Scientist The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding ...

Showing results 21-40

Data Science Associate information

See Hudson, MA salary details

$60.5K

$71.6K

$135.7K

How much do data science associate jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data science associate in Hudson, MA is $71,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $62,600.00 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 cities near Hudson, MA are hiring for Data Science Associate jobs?

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

Infographic showing various Data Science Associate job openings in Hudson, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $71,591 per year, or $34.4 per hour.

Assistant/Associate Professor of Biostatistics and Data Science

Boston, MA • On-site

$150 - $200/hr

Other

Posted 3 days ago

New


Job description

Harvard T.H. Chan School of Public Health – Assistant/Associate Professor of Biostatistics and Data ScienceCompany Name Harvard T.H. Chan School of Public HealthPosition Title Assistant/Associate Professor of Biostatistics and Data ScienceCompany Information

The Harvard T.H. Chan School of Public Health is the public health school at Harvard University, located in the Longwood Medical Area of Boston, Massachusetts.

Duties and Responsibilities

The Departments of Biostatistics at the Harvard T.H. Chan School of Public Health and Data Science at the Dana-Farber Cancer Institute provide exceptional environments to pursue research and education in quantitative methods, while leading global efforts to improve the health of individuals and populations. Faculty members work closely together across the two departments, and joint appointments are common. Our faculty are experts in a wide range of statistical and computational biology areas, and applied research is facilitated through collaborations with researchers in public health, medicine, and related fields. Ample opportunities exist for collaboration with biomedical researchers at Harvard-affiliated hospitals, within the Harvard schools, The Broad Institute, and MIT.

The Department of Data Science at the Dana‑Farber Cancer Institute (DFCI) and the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (HSPH) seek candidates to fill a tenure-track faculty position at the Assistant or Associate Professor level in the field of statistics or machine learning, with demonstrated interest in single‑cell or spatial genomics applications. This faculty member will have a unique opportunity to collaborate with basic scientists and biomedical researchers at DFCI, particularly those generating data using single‑cell or spatial technologies as part of their research, as well as with faculty across Harvard and its affiliates. Because the position carries an appointment at HSPH, they will be expected to participate fully in departmental and school activities, including teaching graduate‑level courses and mentoring students and postdoctoral fellows.

The faculty member will hold a primary appointment in the Department of Data Science at DFCI, and a faculty appointment in the Department of Biostatistics at HSPH. Resources will be provided to support the development of a research team, including postdoctoral fellows and graduate students.

Position Qualifications

Qualified applicants will have a doctoral degree in biostatistics, statistics, computer science, computational biology, or a related field. Candidates must have completed their doctoral degree prior to the start date of the position.

The candidate should exhibit strong interest in single-cell or spatial genomics applications and should be enthusiastic about teaching and training through graduate programs. The candidate should also possess the ability to work collaboratively with other scientists within the Biostatistics Department and should espouse the scholarly qualities required to teach and mentor doctoral students. Candidates should be committed to building an institutional culture that respects and builds upon our many differences. These principles of citizenship are respect, integrity, collegiality, and commitment to a more supportive and sustainable world.

Applications will be reviewed on a rolling basis but must be submitted by 10/31/2026. Four references and two publications will be requested of candidates applying at the Assistant Professor level. Six references and five publications will be requested of candidates applying at the Associate Professor level.

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