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Internship Data Science R Jobs in Boston, MA (NOW HIRING)

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Diverse Lynx

Sr. Data scientist @ Boston, MA

Boston, MA · On-site

... data science products • carry out analyses to yield actionable business insights • inform their statistical or machine learning approaches Qualifications : Required : • R • Python • Azure ...

Gradient AI

Principal Data Scientist

Boston, MA · On-site +1

$190K/yr

Everything you would expect on a world-class data science team solving world-class problems. Big ... You prefer Python to R and don't understand why there is still a debate. Jupyter is a necessary ...

phasevtrials.com

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is ... Strong programming skills in Python (R in addition - an advantage) * Proficiency in statistical ...

DraftKings, Inc.

Senior Data Science Engineer

Boston, MA · On-site

$115K - $156K/yr

Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. * Ability to independently structure and execute data science projects ...

DraftKings

Senior Data Science Engineer

Boston, MA

$115K - $156K/yr

Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. * Ability to independently structure and execute data science projects ...

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Internship Data Science R information

See Boston, MA salary details

$13

$24

$45

How much do internship data science r jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship data science r in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

Internship Data Science R jobs near you

Data Scientist

Newton Research

Boston, MA

$160K - $180K/yr

Full-time

Re-posted 13 days ago

Job description

Data Scientist

Company Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms.  We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge.  Our products to generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc.  This role requires the candidate to work at our offices in Needham, MA. The Data Scientist will be responsible for developing production-level data models and algorithms, analyzing data, designing experiments, and interpreting results. The role will also involve collaborating with cross-functional teams, mentoring other data scientists, and presenting findings to stakeholders. We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment.

Qualifications

  • Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline.
  • Strong foundation in data analysis, statistical modeling, and machine learning concepts.
  • Proficiency in Python, including familiarity with data science libraries like pandas and scikit-learn.
  • Experience writing SQL queries and working with relational databases.
  • Demonstrated ability to approach data challenges systematically and creatively.
  • Ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Willingness to learn and grow in a fast-paced, dynamic startup environment.
  • Familiarity with big data technologies or cloud computing platforms is a plus.
  • Experience in projects or internships involving collaboration with teams is a plus.
  • Experience in media, marketing, advertising, or related industries is strong plus.

Base Salary Range: $160,000-$180,000 + Equity

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