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Data Science R Jobs in Cambridge, MA (NOW HIRING)

Vrtx

Principal Data Scientist, Digital & AI

Boston, MA · Hybrid

$152K - $228K/yr

Python,R, SQL,JavaScript), version control, and other data science related tools(e.g. Snowflake, Databricks, Azure/Foundry, dbt) * Expertise in working with natural language data and building text ...

Roberts Recruiting

Senior Data Scientist

Boston, MA

Partner closely with Software Development to turn Data Science products into best-in-class end-user ... Absolutely high fluency with R and/or Python and Bayesian MCMC tools such as JAGS or STAN, as well ...

The Hollister Group

Data Scientist

Boston, MA · On-site

$80 - $130/hr

Master's degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent work ... Proficiency in Python and/or R , with strong programming and scripting skills (SQL, shell scripting)

MITRE

Senior Data Scientist

Bedford, MA · On-site

... R for data science and modeling • Expertise in code environment management and versioning (e.g.., Git, IDEs) • Experience programmatically accessing and integrating structured and unstructured ...

Bright Horizons Children's Centers

Data Scientist

Newton, MA · On-site

$115K - $125K/yr

Use statistical computer functions in languages (R, Python, SQL, etc.) to manipulate data and draw ... Bachelor's degree in Data Science, Computer Science, or related field and three years data science ...

New

Bright Horizons

Data Scientist

Newton Center, MA · On-site

$115K - $125K/yr

Use statistical computer functions in languages (R, Python, SQL, etc.) to manipulate data and draw ... Bachelor's degree in Data Science, Computer Science, or related field and three years data science ...

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All JobsData Science R JobsData Science R Jobs in Cambridge, MA

Data Science R information

See Cambridge, MA salary details

$41K

$134.2K

$214.8K

How much do data science r jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data science r in Cambridge, MA is $134,150.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,700.00 and $148,600.00 per year, depending on experience, location, and employer.

What is a Data Science R job?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What are the typical daily tasks for a Data Science R professional in most organizations?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

What are popular job titles related to Data Science R jobs in Cambridge, MA? For Data Science R jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Data Science R jobs in Cambridge, MA look for? The top searched job categories for Data Science R jobs in Cambridge, MA are:
What cities near Cambridge, MA are hiring for Data Science R jobs? Cities near Cambridge, MA with the most Data Science R job openings:
Data Science R jobs near you
Infographic showing various Data Science R job openings in Cambridge, MA as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $134,150 per year, or $64.5 per hour.
Senior Data Scientist, Commercial Analytics (Pharma) - Marketing Mix

Senior Data Scientist, Commercial Analytics (Pharma) - Marketing Mix

Analytic Recruiting Inc.

Cambridge, MA

Other

Posted 26 days ago

Job description

Our client, a leading global pharma company, is seeking a Senior Data Scientist (AD) to lead the development of advanced analytics and AI solutions that drive strategic decisions across Marketing, Sales, Medical, and Market Access. This role focuses on Marketing Mix Modeling (MMM), resource allocation, and machine learning–based personalization to improve commercial performance and investment efficiency.


  • Location: ONSITE, Cambridge, MA
  • Salary: to 250K + bonus and incentives
  • NO SPONSORSHIP


RESPONSIBILITIES:

  • Lead development and deployment of Marketing Mix Models (MMM) to quantify channel level promotional impact
  • Measure ROI across field force, digital, media, speaker programs, and patient initiatives
  • Build resource allocation and optimization frameworks to guide commercial investment decisions
  • Support annual brand planning, scenario modeling, and in year budget reallocation
  • Drive the long term data science and AI vision for commercial analytics
  • Serve as a strategic partner to Insights, Marketing, and Access teams
  • Translate brand objectives into scalable analytical solutions and machine learning pipelines
  • Guide stakeholders through insight activation and integration into workflows
  • Provide technical leadership on analytical tools, model governance, and responsible experimentation
  • Collaborate with and mentor a high performing team of data scientists
  • Manage external analytics partners to ensure alignment and delivery


Requirements:

  • 7+ years in analytics or data science, including 4+ years leading data science products, teams, or programs
  • Experience in pharma or biotech, specifically with Marketing Mix Modeling and commercial optimization
  • Strong command of statistical modeling, supervised/unsupervised learning, A/B testing, and time series forecasting
  • Experience deploying data science solutions in a commercial environment
  • Proficiency in Python, R, SQL, Snowflake; familiarity with Power BI, Tableau, or similar tools
  • Proven experience with omnichannel analytics, marketing optimization, and machine learning pipelines
  • Excellent communication and stakeholder influencing skills


Preferred Skills

  • Master’s degree in Data Science, Statistics, Engineering, Computer Science, Business Analytics, or related field
  • Experience building proprietary data products or commercial decision engines

Apply