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

MSD

Associate Director, AI/ML Engineering

Cambridge, MA

$64K - $65K/yr

As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines ... Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists * Stay ...

Takeda

Associate Director - Data Modeling

Cambridge, MA · On-site

$64K - $65K/yr

Job Title: Associate Director - Data Modeling Location: Cambridge, MA About the role: As an ... Work closely with the data science and analytics teams to ensure data models support and drive ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

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

Data Science Associate information

See Lowell, MA salary details

$57K

$67.5K

$127.9K

How much do data science associate jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science associate in Lowell, MA is $67,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $59,000.00 per year, depending on experience, location, and employer.

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 can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

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.

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 Lowell, MA? The most popular types of Data Science jobs in Lowell, MA are:
What job categories do people searching Data Science Associate jobs in Lowell, MA look for? The top searched job categories for Data Science Associate jobs in Lowell, MA are:
What cities near Lowell, MA are hiring for Data Science Associate jobs? Cities near Lowell, MA with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Lowell, MA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, 5% Temporary, and 3% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $67,479 per year, or $32.4 per hour.

Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 26 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 616 rated colleges and universities

Job description

Position
Details
Title
Postdoctoral Research Position in Data Science/ML for Assessing Societal Impacts of AI Data Centers
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
We invite applications for a full-time Postdoctoral Research Fellow to join a massive research effort aimed at assessing the environmental and health impacts of AI data centers. The position will be supervised by Professor Francesca Dominici and will focus on building and evaluating a decision framework to guide the expansion of AI data centers, aligning economic opportunity with social impact. Our team leverages data pipelines to quantify data centers' electricity and water use, emissions, and air pollution exposure and health impacts. The overarching goal is to develop an interactive utility-facing geospatial toolkit through data science and partnerships with grid operators.
Duties and Responsibilities
• Develop a scalable data science pipeline to harmonize and link detailed information on type, size, location of data centers in the US, their electricity and water demand, carbon emissions; exposure to air pollution.
• Develop and/or apply methods for causal inference and machine learning to estimate the excess number of adverse health events and directly attributable to data centers
• Develop a decision-support platform that allows data center expansion while minimizing environmental exposures and associated health impacts.
• Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences).
• Present findings in internal meetings and at national/international conferences.
• Collaborate with an interdisciplinary team of biostatisticians, computer scientists, climate scientists and community and industry partners.
• Contribute to open-source code, reproducible research workflows, and, where possible, public tools or model artifacts.
Basic Qualifications
• PhD (completed or near completion) in one of the following or a closely related field:
  • Computer Science
  • Statistics / Biostatistics
  • Applied Mathematics
  • Data Science

• Demonstrated expertise in modern machine learning, including at least one of the following:
  • Spatiotemporal modeling or geospatial/temporal data analysis
  • Causal inference

• Strong programming skills in Python and experience with PyTorch, required to have experience developing code with a team through collaborative version control
• Experience working with large datasets and cloud computing environments.
• Solid background in statistical modeling and inference
• Excellent written and oral communication skills, with a track record of peer-reviewed publications commensurate with career stage.
Additional Qualifications
Prior experience with one or more of:
• Health claims data, EHRs, or other large-scale health/administrative datasets
• Environmental, climate, or air pollution exposure data
• Causal inference methods
Familiarity with interdisciplinary work at the interface of computer science, climate, environment, and health.
Special Instructions
Please submit the following materials:
• Cover letter describing your research interests, relevant experience, and fit for this position.
• Curriculum vitae including a list of publications.
• One to three representative publications or preprints.
• Names and contact information for 2-3 references.
Contact Information
Catherine Adcock
Contact Email
catherine_adcock@harvard.edu
Salary Range
$75,000
Minimum Number of References Required
2
Maximum Number of References Allowed
3
Keywords
biostatistics; data science; machine learning; data centers

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