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Associate Data Scientist Jobs in Roxbury, MA (NOW HIRING)

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Science or similar technical subject, or equivalent experience. The candidate will be working ... Preferred: • Understanding common design patterns & data modelling for python application ...

Showing results 41-60

Associate Data Scientist information

See Roxbury, MA salary details

$62.4K

$73.8K

$140K

How much do associate data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for associate data scientist in Roxbury, MA is $73,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $64,600.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData 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; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.

What are the most commonly searched types of Data Scientist jobs in Roxbury, MA?

The most popular types of Data Scientist jobs in Roxbury, MA are:

What are popular job titles related to Associate Data Scientist jobs in Roxbury, MA?

For Associate Data Scientist jobs in Roxbury, MA, the most frequently searched job titles are:

What job categories do people searching Associate Data Scientist jobs in Roxbury, MA look for?

The top searched job categories for Associate Data Scientist jobs in Roxbury, MA are:

What cities near Roxbury, MA are hiring for Associate Data Scientist jobs?

Cities near Roxbury, MA with the most Associate Data Scientist job openings:

Data Scientist with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

The Bioanalytics Systems & Technologies Group focuses on driving analytic and Al/ML solutions that leverage the vast and rapidly expanding biological datasets to address national security needs. The Group's efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation's efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance. 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 biological datasets to address national security needs. The Group's efforts include developing software architectures and systems, bioinformatics tools, and AI algorithms to further the nation's efforts in biomedical, health, chemical and biological defense, biosecurity, public and global health and warfighter performance. The BioAnalytics Systems and Technologies Group is looking for a candidate to join a multi-disciplinary team engaged in developing and applying new AI models for a broad set of applications: chemical and biological detection from wearable sensors, predicting causality markers for diseases, developing foundation models, and using GenAI models for a broad range of biomedical and clinical applications. The position will involve leading the development of AI/ML models, data curation, planning and conducting field data collections, leading small programs, collaborating with other scientists and engineers, and communicating results both in written and oral form. Job Requirements * Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical analysis. In lieu of a Master's degree, a bachelor's degree with 3 to 5 years of directly related experience will be considered. * Experience with AI development including applying large language models (LLMs) for retrieval-augmented generation (RAG) for biomedical problems. * Experience in developing data pipelines from harmonizing, curating and aggregating data. Familiarity with molecular, physiological and/or clinical data a plus * Ability to work collaboratively and lead highly interdisciplinary teams. * Demonstrated skills in scientific writing, as well as development and clear presentation of technical materials to a wide spectrum of technical and non-technical audiences a plus * Experience with bioinformatic processing and analysis of sequence (genomics/transcriptomic), proteomics, and chemical data using open-source and custom tools is highly desirable * This role is onsite only Recent Graduate Hiring Range: $116,400 - $140,000 Experienced Hiring Range: $116,400 - $182,200 Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits. At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: * Comprehensive health, dental, and vision plans * MIT-funded pension * Matching 401K * Paid leave (including vacation, sick, parental, military, etc.) * Tuition reimbursement and continuing education programs * Mentorship programs * A range of work-life balance options * ... and much more! Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks . Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance. MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required. Requisition ID: 42283