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Applied Data Science Jobs in Massachusetts (NOW HIRING)

Senior Data Scientist

Boston, MA · On-site

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related technical field. * 3+ years of experience as a Data Scientist, Machine Learning ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... applied mathematics, or similar), * 5+ years delivering ML/NLP/GenAI and multi objective ...

D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or Biological Sciences or a related field • 5+ years of experience in Data Science or Analysis • Solid ...

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

New

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

New

Attention to Detail Preferred Qualifications * 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics. * Experience producing or ...

New

Data Scientist

Boston, MA · Remote

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and ... Solid grounding in applied statistics, including hypothesis testing, regression, model evaluation ...

New

Data Scientist

Boston, MA · Remote

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and ... Solid grounding in applied statistics, including hypothesis testing, regression, model evaluation ...

New

Data Scientist

Boston, MA · On-site +1

$105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Guidehealth's Data Science team plays a pivotal role in supporting Value-Based Care performance and ... Solid grounding in applied statistics, including hypothesis testing, regression, model evaluation ...

New

MITRE's Data Science and Engineering department is looking for qualified applicants to bring their advanced data science, data engineering, machine learning, artificial intelligence, and applied ...

New

Data Scientist, Baseball Analytics

Boston, MA · On-site

$75K - $100K/yr

  • Medical

  • Retirement

  • PTO

Baseball Analytics is the quantitative research and data science group within Baseball Operations ... Core responsibilities include predictive modeling, applied research, experimentation, and ...

GCS, Data Scientist, AVP

Quincy, MA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's degree or advanced coursework in Data Science, Computer Science, Statistics, Applied Mathematics, Cybersecurity, or a related field. * Experience operationalizing ML or AI solutions through ...

Showing results 41-60

Applied Data Science information

See Massachusetts salary details

$27.9K

$158K

$240.3K

How much do applied data science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for applied data science in Massachusetts is $157,965.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,687.00 and $196,318.00 per year, depending on experience, location, and employer.

What does an applied data science do?

An Applied Data Science professional typically spends their days gathering, cleaning, and analyzing structured and unstructured data to uncover patterns and generate actionable insights. They frequently build and deploy predictive models, collaborate with business and engineering teams to define project requirements, and communicate findings through clear reports or visualizations. Additionally, they often engage in regular team meetings, contribute to ongoing process improvements, and continuously learn new technologies or methodologies to enhance project outcomes. This combination of technical and collaborative work makes the role both dynamic and highly impactful within most organizations.

What can you do with an applied data science degree?

An applied data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in industries like finance, healthcare, technology, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What are the key skills and qualifications needed to thrive in applied data science?

To thrive in Applied Data Science, you need a strong background in statistics, machine learning, data analysis, and programming languages such as Python or R, typically evidenced by a degree in a quantitative field. Familiarity with data visualization tools (like Tableau), cloud platforms (AWS, GCP), and certifications in data science or analytics are highly valued. Effective communication, problem-solving, and teamwork are crucial soft skills to convey insights and collaborate with both technical and non-technical stakeholders. These competencies are critical for transforming complex data into actionable business strategies and driving measurable impact within organizations.

What is an applied data science?

An Applied Data Science job focuses on using data science techniques to solve real-world problems in business, healthcare, finance, and other industries. It involves collecting, processing, analyzing, and interpreting large datasets to extract meaningful insights. Applied data scientists use machine learning, statistical modeling, and programming skills to develop data-driven solutions. They work closely with stakeholders to implement models that drive decision-making and improve operations.

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

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

Infographic showing various Applied Data Science job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $157,965 per year, or $75.9 per hour.

Adjunct Instructor in Generative AI and Large Language Models in Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 24 days ago


Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 140 Generative AI and Large Language Models in Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.
This course will examine the design, implementation, and governance of generative AI systems particularly Large Language Models (LLMs) for analytics and decision-support applications. Students explore prompt engineering, fine-tuning, evaluation metrics, hallucination mitigation, and responsible deployment practices.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Advanced degree (Masters or Ph.D) in Computer Science, Data Science, or Software Engineering or AI Related fields.
    • Experience applying LLMs in Enterprise or Analytics contexts, including prompt engineering, model evaluation, hallucination mitigation, and responsible deployment of LLM-Based systems for analytics and or decision support.
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").