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Data Science Major Jobs in Boston, MA (NOW HIRING)

Expand awareness and understanding of Data Science to peers and senior leadership * Demonstrate ... Reasonable accommodations may be made to enable individuals with disabilities to perform the major ...

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Data Science Major information

What are the key skills and qualifications needed to thrive as a Data Science Major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a Data Science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do Data Science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What jobs can you do with data science?

Data science majors can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with relevant certifications or advanced degrees.

Is data science a good major?

Data science is a strong major for those interested in careers involving data analysis, machine learning, and statistical modeling. It prepares students with skills in programming, data manipulation, and tools like Python and R, which are highly valued in many industries. Graduates often find opportunities in technology, finance, healthcare, and consulting sectors.

What kind of jobs can I get with a data science degree?

A data science degree prepares individuals for roles such as data scientist, data analyst, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, often within technology, finance, healthcare, or marketing industries.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are the careers in data science?

Careers in data science include roles such as data scientist, data analyst, machine learning engineer, and data engineer. These positions involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
What are popular job titles related to Data Science Major jobs in Boston, MA? For Data Science Major jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Data Science Major jobs in Boston, MA look for? The top searched job categories for Data Science Major jobs in Boston, MA are:
Infographic showing various Data Science Major job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Director, Data Science (MarTech)

Director, Data Science (MarTech)

Inmar

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Job description

The Director, Data (MarTech) is responsible for applying data exploration and visualization, machine learning and artificial intelligence, and other data science techniques to explore, create, and maintain advanced data-driven solutions for the problems and opportunities at Inmar Intelligence, working closely with business units, product development, and application engineering.
This role provides thought leadership on Inmar strategic plans for new products and solutions, and manages the Data Science team, both from personnel and technical perspectives.

Primary Accountabilities: (Technical)

  • Demonstrate excellent understanding and competence in the tools, techniques, and technologies used by the team: data science, machine learning, artificial intelligence, software engineering, statistical analysis, scientific method, etc.
  • Demonstrate superior collaboration with senior leadership in identifying prospective data science solutions that align with Inmar goals, as well as working with business units and product development teams in creating those solutions
  • Demonstrate superior collaboration with application engineering to build robust and secure solutions that integrate with production products
  • Demonstrate superior communication skills, especially with internal technical and non-technical stakeholders and team members, but also as an effective technical spokesperson with customers and other external stakeholders
  • Demonstrate a drive to keep skills and knowledge up to date
  • Demonstrate innovation and continuous improvement
  • Demonstrate professionalism with focus on customer satisfaction and product quality

Leadership:

  • Expand awareness and understanding of Data Science to peers and senior leadership
  • Demonstrate superior competence in managing team dynamics and organizational culture, with the objective of ensuring team effectiveness
  • Provide coaching and mentoring to team members in their professional and technical development
  • Work with minimal supervision and assumes leadership responsibilities on multiple, concurrent projects

Additional Responsibilities:

  • Performs other duties as assigned

  • Complies with all policies and standards

Required Qualifications:

  • Bachelors in Computer Science, Statistics or any related field with an applied quantitative and experimentation focus required

  • Masters in quantitative and experimentation focused field preferred

  • Doctorate in quantitative and experimentation focused field preferred

  • 10+ years related work experience in machine learning, data visualization, and other data science techniques, including at least 4 years managing others; or any equivalent combination of experience and training that provides the required knowledge, skills, and abilities needed to complete the job responsibilities required

  • Strong experience in software development (scripting, programming, versioning, testing, deploying) on Linux and Microsoft Platforms

  • Strong experience in databases (data processing extraction, cleansing and transformation)

  • Highly proficient with presentation software: Microsoft Office & Google Suites and giving presentations to technical and non-technical audiences

Physical Demands
The physical demands described here are representative of those that must be met by an associate to successfully perform the major job responsibilities (essential functions) of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the major job responsibilities. This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

  • Use Hands to Handle Objects - Regularly

  • Reach with Hands or Arms - Regularly

  • Talk or Hear and Read Instructions - Regularly

  • Stand, Kneel, or Stoop and Lift 20 Pounds - Occasionally

  • View Items at a Close Range - Regularly

Rarely: Job requires this activity up to 25% of the time
Occasionally: Job requires this activity between 25% - 50% of the time
Frequently: Job requires this activity between 50% - 75% of the time
Constantly: Job requires this activity more than 75% of the time
Individual Competencies

  • Teamwork: Advanced communication skills used to lead a team.

  • Adaptable: Arrives at a conclusion based on previous experiences and good judgment.

  • Innovative: Arrives at decision using analytical thought.

  • Curious: Asseses circumstances using experience and a variety of information gathered.

  • Problem Solving: Completes routine and repetitive tasks where tasks are straightforward.

  • Communication: Contributes to strategy for their team.

  • Collaboration: Creates internal alliances outside the immediate team or department.

  • Effective Execution: Demonstrates support for innovation and organizational changes needed to improve effectiveness and efficiency.

As an Inmar Associate, you:

  • Put clients first and consistently display a positive attitude and behaviors that demonstrate an awareness and willingness to listen and respond to clients in order to meet their short-term and long-term needs, requirements and exceed their expectations.

  • Treat clients and teammates with courtesy, consideration and tact; you also have the ability to perceive the needs of internal and external clients and communicate effectively with the objective of delighting and retaining the client.

  • Build collaborative relationships and work cooperatively with others, inside and outside the organization, to accomplish objectives, develop and maintain mutually beneficial partnerships, leverage information and achieve results.

  • Set and attain achievable, yet aggressive, goals with a sense of urgency and accountability.

  • Understand that results are important and focus on turning mission into action to achieve results following the principles of Flawless Execution while consistently complying with quality, service and productivity standards to meet deadlines and exceed expectations by giving our clients the best possible outcome.

  • Support a safe work environment by following safety rules and regulations and reporting all safety hazards.

At Inmar, we put people first and that means empowering our associates to thrive at every stage of life and career. Our comprehensive and competitive benefits package is thoughtfully designed to support a wide range of lifestyles and life stages.

Eligible associates have access to:

  • Medical, Dental, and Vision insurance

  • Basic and Supplemental Life Insurance options

  • 401(k) retirement plans with company match

  • Health Spending Accounts (HSA/FSA)

We also offer:

  • Flexible time off and 11 paid holidays

  • Family-building benefits, including Maternity, Adoption, and Parental Leave

  • Tuition Reimbursement and certification support, reflecting our commitment to lifelong learning

  • Wellness and Mental Health counseling services

  • Concierge and work/life support resources

  • Adoption Assistance Reimbursement

  • Perks and discount programs

Please note that eligibility for some benefits may depend on your job classification and length of employment. Benefits are subject to change and may be governed by specific plan or program terms.

At Inmar, compensation reflects our belief in integrity, transparency, and the value of individual contributions. The hiring range for this position is:

162,081.00 - 270,135.00 USD Annual

The final offer may vary based on factors such as geographic location, job-related skills, education, certifications, work experience, and other relevant considerations.

Depending on the job level and role, it may include:

  • Annual discretionary bonuses through our Core Company Performance Bonus Plan

  • Equity grants, sign-on bonuses, and other tailored incentive opportunities

  • Additional discretionary compensation, such as:

    • Growing Revenue Incentives

    • Corporate or VIP Bonuses

    • Deferred compensation opportunities

The actual annualized salary offered at the time of hire will be communicated in the candidate's offer letter. We remain committed to fairness and transparency across all locations. Where required, including for remote-eligible roles, local pay ranges are disclosed in accordance with applicable laws and regulations.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice:Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in ourfull notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.