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Applied Data Science Jobs in Massachusetts (NOW HIRING)

Data Scientist

Boston, MA · On-site

$110 - $120/hr

Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics Qualifications * A minimum of2years of experience in applied data sciencewith a solid foundation ...

New

Ipsen is a company dedicated to enhancing its Data and AI capabilities, and they are seeking a Head of Applied AI & Data Science to lead and strategize the technical direction for advanced analytics ...

Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science * Own calibration and ongoing improvement of our Safe Driving Score ...

Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science * Own calibration and ongoing improvement of our Safe Driving Score ...

Risk Data Scientist

Boston, MA · On-site

$112 - $155/hr

Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science * Own calibration and ongoing improvement of our Safe Driving Score ...

Enjoys collaboration and revels in working as part of a team to solve deep applied problems. You ... a data science team within the Quantitative Research and Investment Technology division in the ...

... applied mathematics, or similar), * 5+ years of industry experience delivering on data science ... projects using ML predictive modeling, multi-objective optimization, natural language processing ...

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Showing results 1-20

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 13, 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.

Tutor - Master's in Data Science (Temporary)

Boston College

Chestnut Hill, MA • On-site

Temporary

Posted 14 days ago


Boston College rating

8.7

Company rating: 8.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

55th of 618 rated colleges and universities


Job description

Tutor - Master's in Data Science (Temporary)

The online Master's in Data Science is a 36-credit program housed within the Measurement, Evaluation, Statistics, and Assessment Department at the Lynch School of Education and Human Development. In line with the Jesuit values at the core of Boston College, the program ensures graduates (a) approach data science with a human-centered mindset, which will prepare graduates to place people and society at the forefront; (b) instill in students the importance of ethical and responsible data use; and (c) ensure that equity and the minimization of biases are at the center of their training in data science, from data collection, processing, storage, to modeling, presentation, and interpretation.
The online M.S. in Data Science program at Boston College is seeking Tutors to support our courses during the upcoming semester. This role is expected to average 10- 15 hours per week across the semester, with a maximum of 170 hours. The Tutor role offers valuable experience in teaching and mentoring at the graduate level in a fast-growing program. Tutors play a valued role in our program, supporting our students and faculty with excellence and kindness.
Courses requiring Tutors:
Fall semester: (late-Augustthrough mid-December)

Introduction to Human-Centered Data Science
Python Programming for Data Science
Database Systems and Data Preparation
Applied Machine Learning & AI

We are also interested in hiring tutors for the following semesters:

Spring semester: (beginning of January through mid-May)

Applied Math for Data Science
General Linear Models
Deep Learning & AI
Capstone in Applied Data Science I

Summer semester: (beginning of May through mid-Aug)

Data Visualization & Storytelling
Multivariate Statistical Analysis
Natural Language Processing
Capstone in Applied Data Science II

The Tutor role will include the following requirements:

Support your Faculty Instructor in providing feedback and grades for student work
Be available via email communication with your Faculty Instructor, with responses expected within 1 business day
Familiarize yourself with all course materials on the course Canvas website
Attend all course synchronous sessions live. If live attendance is not possible, you must notify the Faculty Instructor ahead of time and watch the recordings promptly.
Act professionally in all communications with students and with your Faculty Instructor
Respond to student questions via email (or another designated platform like Slack, depending on the course) within 1 business day
Alert your Faculty Instructor of any suspicions of academic dishonesty by students
Keep track of your hours worked and share these logs with your Faculty Instructor

In consultation with your Faculty Instructor, your Tutor role may also include the following responsibilities:

Holding weekly office hours to meet with students (either at a fixed time, by appointment, or both)
Participating in weekly online meetings with your Faculty Instructor to discuss course content, logistics, and student feedback
Planning and hosting review sessions for students to reinforce and discuss course materials
Coordinating a mid-semester survey of student feedback to inform the remainder of the course
Supporting the Faculty Instructor with keeping the course Canvas site up-to-date (e.g. fixing mistakes, releasing weekly modules, updating deadlines, sending announcements, etc.)
Helping manage course logistics, e.g. tracking student attendance and participation, assignment deadlines, late assignments, student groups for assignments, student illnesses, etc.

Additional Information:
Contact MESA Department Admin Bella Otoka isabella.otoka@bc.edu to request specific course descriptions, or for any questions about the hiring process.
To apply for this position, please submit:

A resume highlighting your technical skills, previous teaching experience (if any), academic background, and any other relevant work experience.
A cover letter listing which specific courses you believe you are most suited for and why.

Notes:
This is a non-benefited position, hours and shifts may vary. The hourly rate for this temporary position is expected to be 23.00/hr, with the exception of PhD students and holders who are eligible for a higher rate at 33.00/hr.


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