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Applied Data Science Jobs in Massachusetts (NOW HIRING)

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has ...

Senior Applied Data Scientist

Boston, MA ยท On-site +1

$150K - $180K/yr

The Applied Science team is a self-sufficient, product development team that applies research and ... In short, you'll be a full-stack applied data scientist and software developer. 3Play Media has ...

... applied data science โ€ข Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models โ€ข Lead feature selection, target variable development, and model ...

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 ...

Director, Data Science

Boston, MA ยท On-site

$126K/yr

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 ...

The Director, Data (MarTech) is responsible for applying data exploration and visualization ... Bachelors in Computer Science, Statistics or any related field with an applied quantitative and ...

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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 Jul 30, 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 are the typical responsibilities of an Applied Data Science professional on a day-to-day basis?

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.

Is data science high paying?

Data science is generally considered a high-paying field, with salaries often above average for technology roles. Factors such as experience, skills in programming and statistical analysis, and industry can influence compensation levels.

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. The degree often requires proficiency in programming languages like Python or R and knowledge of data management and modeling techniques.

What jobs can I get with applied science?

Applied Data Science prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These jobs typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and often involve working with large datasets to inform decision-making.

What are the key skills and qualifications needed to thrive in the Applied Data Science position, and why are they important?

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.

Is 40 too late for data science?

Applied Data Science is a field open to individuals of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and data analysis. Many professionals transition into data science later in their careers by gaining certifications, building portfolios, and continuously learning new tools like Python or R.

What is an Applied Data Science job?

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 July 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,965 per year, or $75.9 per hour.

Senior Applied Data Scientist

3Play Media

Boston, MA โ€ข On-site, Remote

$150K - $180K/yr

Full-time

Re-posted 20 days ago


Job description

The Role

We are looking to grow our core Applied Science team by adding a โ€œSenior  Applied Data Scientistโ€.  This is an individual contributor role on a highly collaborative team.  The Applied Science team is a self-sufficient, product development team that applies research and experimentation to fulfill its goals of developing and maintaining business-critical software systems.  In short, youโ€™ll be a full-stack applied data scientist and software developer.  3Play Media has diverse business and technical challenges related to media transcription, captioning, audio description, dubbing, subtitling, and translation. This team makes major contributions in many technical domains, including software engineering, systems engineering, machine learning, natural language processing, generative AI, signal processing, applied probability and statistics, data analysis, and controlled experimentation.  Youโ€™ll be expected to contribute to and learn about several of these domains.

We are looking for a curious, communicative, collaborative, humble, self-sufficient, and flexible data scientist. The ideal candidate is energized by the craft of building efficient, reliable software systems alongside sensible, robust machine learning and AI models. Youโ€™ll approach engineering and data science as disciplines that are always evolving, and you actively seek out and weigh new approaches rather than settling into the familiar. Above all, you understand that this work is a team sport: you know that strong collaboration, durable relationships, and genuinely diverse perspectives aren\'t nice-to-haves but the foundation of doing it well.

What You\'ll Do
  • Contribute to a shared codebase, using GitHub and other modern collaboration tools, such as agentic coding systems
  • Perform the technical elements of a variety of product development and data analysis projects (prototyping, evaluation, productionization, and maintenance), especially related to audio and video processing, generative AI, predictive modeling, and NLP
  • Participate in the internal peer review process, including design reviews, code reviews, and data analysis reviews
  • Design, manage, and analyze controlled experiments within our production systems
  • Regularly report on progress, results, findings, risks, and opportunities
Who You Are Must-haves
  • 2+ years full time working experience in signal processing, data science, or machine learning roles, including predictive modeling, data processing, and data analysis responsibilities
  • Extremely strong communication skills, both verbally and in writing
  • Strong familiarity with Python coding, utilizing industry standard libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn)
  • Interest in presenting technical and business-oriented information to a variety of audiences, including senior management and customers
  • BS/ MS / PhD in Data Science, Engineering, Computer Science or a related field
Nice-to-haves
  • Strong academic and professional experience with audio signal processing, speech synthesis, and computer vision
  • Experience writing, deploying, and maintaining Python and SQL code in a production setting
  • Experience building and maintaining production machine learning systems in a cloud-based platform, such as AWS SageMaker
  • Experience developing and maintaining custom deep learning models using pytorch and HuggingFace, especially models involving text, audio, and video data
  • Experience using third-party generative AI systems, including prompt engineering and fine-tuning
  • Experience in the accessibility and localization industries
โšก AI at 3Play

3Play is building AI into how we work across every function. We don\'t expect expertise โ€” we expect curiosity. If you\'ve used AI tools to work smarter, automated something that used to be manual, or found a better way to do your job with technology, that mindset belongs here.

Compensation & Location

Base salary range: $150k - $180k

Location: Remote โ€” United States

Employment type: Full-time

About 3Play Media

3Play Media is a technology company making video accessible to everyone. Our captioning, transcription, audio description, and localization solutions serve over 10,000 customers โ€” universities, media companies, enterprises, and government organisations across the US and Canada.

We were founded at MIT Sloan in 2007 and have been building deliberately ever since. The team is small, fast-moving, and low on politics. The work you do here is visible from day one. Headquarters in Boston, MA with offices in Minneapolis, MN and Calgary, AB.

3Play Media is an equal opportunity employer. We are committed to building a diverse and inclusive team and encourage applications from candidates of all backgrounds.