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Data Science Associate Jobs in Massachusetts (NOW HIRING)

MANTECH

Senior GEOINT Data Scientist

Springfield, MA

Associate's degree may substitute for 2 years of experience. * Bachelor's degree may substitute for ... Possess Master's degree in Data Science or related technical field with experience developing and ...

Merck & Co.

$156K - $247K/yr

The Translational PK/PD Associate Director is an expert mathematical modeler and scientist who ... Biologics, Biostatistics, Data Analysis, Data Modeling, Data Science, Drug Discovery Process ...

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$62.8K

$74.3K

$140.9K

How much do data science associate jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science associate in Massachusetts is $74,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $65,000.00 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 are the most commonly searched types of Data Science jobs in Massachusetts?

The most popular types of Data Science jobs in Massachusetts are:

What are popular job titles related to Data Science Associate jobs in Massachusetts?

For Data Science Associate jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Data Science Associate jobs in Massachusetts look for?

The top searched job categories for Data Science Associate jobs in Massachusetts are:

What cities in Massachusetts are hiring for Data Science Associate jobs?

Cities in Massachusetts with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $74,307 per year, or $35.7 per hour.

Senior GEOINT Data Scientist

MANTECH

Springfield, MA

Full-time

Re-posted 10 days ago

ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 245 rated software companies

Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Senior GEOINT Data Scientist to join our team in Springfield, VA!

The Senior GEOINT Data Scientist will leverage their strong technical background and knowledge to support critical data environments, to include creating streamlined processes, evaluating unique datasets, and solving challenging intelligence issues.

Responsibilities include but are not limited to:

  • Working with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Leading and participating in the design of solutions and refinement of pre-existing processes
  • Working with Program Managers and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Using exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Researching and implementing optimization models, strategies, and methods to inform data management activities and analysis
  • Applying big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments

Minimum Qualifications:

  • High School Diploma/GED with 10+ years of progressively responsible experience in GEOINT analysis, intelligence analysis, or a related technical field
  • Education/Training Substitutions:
    • Associate’s degree may substitute for 2 years of experience.
    • Bachelor’s degree may substitute for 3 years of experience.
    • Master’s degree may substitute for 2 years of experience.
    • PhD may substitute for 3 years of experience.
    • Professional certifications may substitute for up to 6 months of experience.
  • Significant experience supporting IC operations, possessing expert level knowledge to manipulate and analyze structured/ unstructured data
  • Demonstrated experience in data mining and developing/maintaining/manipulating databases
  • Demonstrated experience in identifying potential systems enhancements, new capabilities, concept demonstrators, and capability business cases
  • Demonstrated experience using GOTS data processing and analytics capabilities to modernize analytic methodologies
  • Demonstrated experience in directing activities of highly skilled technical and analytical teams responsible for developing solutions to highly complex analytical/intelligence problems
  • Experienced in conducting multi-INT and technology specific research to support mission operations

Preferred Qualifications:

  • Possess Master's degree in Data Science or related technical field with experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, Geospatial Analysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS
  • Experience using .NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Clearance Required:

  • An active TS/SCI with the ability to obtain & maintain a Polygraph

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and senior personnel, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

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