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Data Science Writer Jobs in Massachusetts (NOW HIRING)

FocusKPI Inc.

Data Science Intern

Boston, MA · On-site +1

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions ...

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Fluency in English (oral and written). This is a hybrid role that requires a balance of in-person ... Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine ...

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · On-site

$250/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation

YO AI Labs

AI Data Science Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Job Title: AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job ... Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation

Triveni Bio

Director, AI and Data Science

Watertown, MA · On-site

$240K - $255K/yr

... writing a Python script, and who thrives in a fast-paced biotech environment where no two weeks ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

Triveni Bio

Director, AI and Data Science

Watertown, MA · On-site

$240K - $255K/yr

... writing a Python script, and who thrives in a fast-paced biotech environment where no two weeks ... Master's degree or above in Data Science, Computer Science, Bioinformatics, Computational Biology ...

Saviance

Senior Data Science Engineer

Cambridge, MA · On-site

$126K - $151K/yr

... Excellent written and verbal communication skills. • Ability to work effectively both ... in data science. • Hands-on experience in commercial settings with a proven track record of ...

Dlapiper

Data Scientist

Boston, MA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Writes computer programs and analyzes large datasets to uncover answers to complex problems.

MIT Lincoln Laboratory

Data Scientist

Lexington, MA

... both in written and oral form. Job Requirements * Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

... both in written and oral form. Job Requirements * Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical ...

MIT Lincoln Laboratory

Data Scientist

Lexington, MA · On-site

... both in written and oral form. Job Requirements * Master's in Data Science, Computational Biology, Biomedical Informatics, AI, or related scientific field or equivalent experience in technical ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Proficiency in Python, including data science libraries like pandas and scikit-learn, and writing code that ships to production. * Strong SQL and experience working with relational databases.

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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.

Data Science Intern

Boston, MA • On-site, Remote

FocusKPI Inc.
Computing Infrastructure Providers, Data Processing, Web Hosting • 51 - 200 employees
Learn more about FocusKPI Inc.external

Full-time

Posted 11 days ago

Job description

Data Science Intern
Statistical Modeling & Marketing Measurement
Remote | Internship | Full-time | 3 months
About the Role
We are looking for a curious and analytically minded Data Science Intern to support the development and evaluation of statistical and machine learning models for marketing measurement. This role is designed for someone with strong quantitative fundamentals who wants hands-on experience applying regression, model diagnostics, validation, and data analysis to real business problems. You will work closely with experienced data scientists, learn how modeling choices affect interpretation and business decisions, and contribute clean, reproducible analytical work.
Responsibilities
  • Support the development and evaluation of models including regression, time-series, and other statistical or machine learning approaches, with attention to predictive performance, stability, and interpretability.
  • Prepare and explore data using Python and SQL; perform data-quality checks, feature construction, descriptive analysis, and visualization to understand modeling inputs and outcomes.
  • Apply core model-validation techniques such as train/validation/test splits, cross-validation, baseline comparisons, and appropriate performance metrics.
  • Investigate common statistical issues including multicollinearity, overfitting, residual patterns, autocorrelation, heteroskedasticity, and unstable coefficients, with guidance from senior team members.
  • Test and compare reasonable modeling choices such as feature transformations, regularization settings, and model specifications, and summarize how these choices affect model results.
  • Interpret model outputs and connect technical findings to practical marketing or business questions while clearly stating assumptions and limitations.
  • Contribute to reproducible analytical workflows for model training, validation, sensitivity checks, and result comparison.
  • Write clear Python and SQL code and communicate methods, findings, assumptions, and open questions in a structured and understandable way.

Basic Qualifications
  • Strong foundation in statistics and regression: understanding of linear regression, key model assumptions, coefficient interpretation, regularization concepts, and basic statistical inference.
  • Solid quantitative fundamentals in probability, statistics, and linear algebra; familiarity with calculus or optimization concepts is helpful.
  • Working knowledge of Python for data analysis and modeling, including common data-science libraries; basic to intermediate SQL skills for data extraction and transformation.
  • Understanding of model evaluation: training versus validation data, cross-validation, common regression metrics, overfitting, and the importance of out-of-sample performance.
  • Ability to reason through modeling problems: investigate unexpected results, form hypotheses about root causes, test alternatives, and explain conclusions using evidence.
  • Clear communication skills: ability to explain analytical methods, assumptions, results, and limitations to technical teammates and learn from feedback.
  • Currently pursuing a degree in statistics, computer science, data science, machine learning, applied mathematics, econometrics, operations research, or a closely related quantitative field.

Preferred Qualifications
  • Coursework, research, or project experience using regression, time-series analysis, statistical modeling, or machine learning.
  • Exposure to Marketing Mix Modeling (MMM), marketing analytics, attribution, or other measurement problems.
  • Basic understanding of concepts such as adstock, saturation, incremental impact, ROI, or response curves.
  • Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals.
  • Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy, or similar tools.
  • Previous internship, research assistantship, academic project, or independent project involving real-world data is a plus.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.
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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010

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