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Data Science Writer Jobs in Massachusetts (NOW HIRING)

Merck & Co.

$64K - $65K/yr

Associate Director of Data Science, Functional Genomics (R4) Translational Genome Analytics (TGA ... Excellent oral and written communication skills.Preferred Experience and SkillsA Ph.D. in ...

OneStudyTeam

Senior Data Scientist

Boston, MA · On-site +1

$140K - $190K/yr

Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business ...

1 point system

Data Scientist

Northborough, MA · On-site

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information ... Strong proficiency in SQL, including writing complex queries and designing relational schemas

CarGurus

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Design A/B tests of the Data Science team's models and analyze their results * Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations

CarGurus

Senior Data Scientist

Boston, MA · On-site

$144K - $181K/yr

Design A/B tests of the Data Science team's models and analyze their results * Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations

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Data Science Writer information

What is a data science writer?

A Data Science Writer is a professional who specializes in creating content related to data science topics, such as machine learning, artificial intelligence, data analytics, and statistical modeling. They translate complex technical concepts into clear, accessible articles, tutorials, blog posts, or documentation for audiences ranging from beginners to experts. Data Science Writers often work for tech companies, educational platforms, or media outlets, helping to educate and inform readers about current trends and developments in the data science field.

What are the key skills and qualifications needed to thrive as a data science writer?

To thrive as a Data Science Writer, you need a strong understanding of data science concepts, analytics, and statistics, supported by experience in technical writing or journalism. Familiarity with tools such as Python, R, Jupyter Notebooks, and visualization platforms, as well as SEO practices, is typically required. Exceptional communication, storytelling, and the ability to simplify complex topics are critical soft skills in this role. These skills ensure that technical information is accurately conveyed to diverse audiences, enhancing understanding and engagement.

How does a data science writer typically collaborate with subject matter experts and data professionals?

Data Science Writers often work closely with data scientists, analysts, and engineers to translate complex technical concepts into accessible content for a wider audience. Collaboration usually involves interviewing experts, reviewing technical documentation, and attending team meetings to stay updated on project developments. This process ensures accuracy and clarity in the content, while also helping writers understand emerging trends and tools in data science. Effective communication skills and a willingness to learn from technical colleagues are essential for building strong working relationships.

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

AspectData Science WriterData Analyst
Required CredentialsBachelor's or higher in Data Science, Communications, or related fields; strong writing skillsBachelor's in Statistics, Data Science, or related fields; proficiency in data tools
Work EnvironmentContent creation teams, tech companies, research organizationsBusiness, finance, healthcare, and other industries analyzing data
Employer & Industry UsageTech firms, media outlets, educational platformsCorporations, consulting firms, government agencies
Common Search & ComparisonYesNo

The main difference between a Data Science Writer and a Data Analyst lies in their focus. Data Science Writers primarily create content explaining data concepts, insights, and research findings, requiring strong writing and communication skills. Data Analysts, on the other hand, analyze data sets to generate reports and support decision-making. While both roles involve working with data, their core responsibilities and skill sets differ significantly.

Are data science writers in demand?

Data science writers are in increasing demand as organizations seek clear communication of complex data insights. They often require skills in data visualization, technical writing, and familiarity with tools like Python or R, making their expertise valuable across industries such as technology, finance, and healthcare.

What cities in Massachusetts are hiring for Data Science Writer jobs?

Cities in Massachusetts with the most Data Science Writer job openings:

Infographic showing various Data Science Writer 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.

Senior Machine Learning Engineer (Data Science Algorithms)

Boston, MA • On-site

WHOOP
Fitness and Sports Centers • 501 - 1,000 employees
Learn more about WHOOPexternal

$60.50 - $80/hr

Full-time

Re-posted 26 days ago

Job description

Job Summary:
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. As a Senior Machine Learning Engineer, you will design, build, and productionize ML systems that deliver meaningful, personalized health metrics to millions of members, working at the intersection of data science, backend engineering, and cloud infrastructure.
Responsibilities:
• Create, improve, and maintain production services that provide analysis for health features in collaboration with data scientists and MLOps engineers
• Collaborate with data engineers to improve ML data pipelines, tooling, and validation systems that support robust model performance
• Work alongside data scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency
• Collaborate with researchers and product teams to align model development with physiological insights and member impact
• Participate in on-call rotations for data science services, ensuring uptime and performance in production environments
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred).
• 4+ years of professional experience as a ML engineer, applied researcher, or software engineer with a focus on ML systems
• Strong coding skills in Python with a track record of writing clean, production-quality code
• Experience designing, deploying and operating ML inference systems at scale (real-time streaming and/or large-scale batch)
• Strong fundamentals in backend/service development (APIs, reliability, monitoring, debugging) as it relates to serving ML models
• Experience deploying and maintaining ML systems on cloud platforms (AWS or GCP), including CI/CD and observability practices
• Familiarity with applied ML development (frameworks, evaluation criteria, performance validation) and translating prototypes into production systems
Preferred:
• 2+ years of experience applying advanced mathematical and statistical techniques
• Experience working with time series data (wearable, physiological, or high-frequency sensor data)
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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