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

In this role, you will lead a high-performing team of Data Scientists and Machine Learning ... Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.

Data Scientist

Boston, MA

$120K - $135K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

... interns. Knowledge and Experience Education: Minimum B. Sc. Computer Science with Statistics or ... Python, R, Stata, SQL -Frameworks: Apache Spark, Apache Airflow -Cloud services: AWS (Lambda, EC2 ...

Data Scientist

Boston, MA · On-site

$120K/yr

Minimum, cumulative GPA of 3.00 for all degrees earned * 4+ years of hands-on experience in data science, analytics, or machine learning * Proficiency in Python or R, with working knowledge of SQL

AI and Data Science Engineer III

Boston, MA · On-site

$124K - $149K/yr

Proficiency in Python or R for statistical modeling and data wrangling. * Strong communication ... AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ...

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 ...

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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 Jun 15, 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 types of projects can I expect to work on during a Data Science Internship at 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 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.

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 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.
Associate Director, Data Science

Associate Director, Data Science

Chewy

Boston, MA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Chewy rating

6.8

Company rating: 6.8 out of 10

Based on 218 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Job Description:

Your Opportunity

Chewy is seeking an innovative and strategic Associate Director, Data Science to lead our growing Customer Care AI and Advanced Analytics organization. In this role, you will lead a high-performing team of Data Scientists and Machine Learning Engineers while driving the vision, strategy, and execution of AI and machine learning capabilities across Customer Care.

This leader will oversee a broad portfolio of initiatives spanning customer-facing AI experiences, agent-assist technologies, intelligent routing, operational optimization, forecasting, and emerging generative AI applications. You will partner closely with Product, Engineering, Operations, Data Platforms, and executive leadership to deliver scalable, data-driven solutions that improve customer experience, increase operational efficiency, and accelerate business impact.

The ideal candidate combines strong technical depth with strategic thinking, organizational leadership, and operational excellence. You are comfortable navigating ambiguity, balancing short-term execution with long-term direction, and influencing decisions across multiple teams and senior stakeholders. This is a hands-on leadership role that requires the ability to guide complex initiatives from concept through production while establishing scalable frameworks, standards, and best practices across the organization.

If you are passionate about building high-performing teams, solving complex business problems through AI and advanced analytics, and shaping the future of customer experience at scale, we’d love to talk with you.

What You’ll Do

  • Define and drive the strategic direction for AI and Data Science capabilities across Customer Care, leading a diverse portfolio of initiatives spanning customer experience, agent productivity, intelligent routing, operational optimization, forecasting, and generative AI.
  • Lead and scale high-performing teams of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, innovation, accountability, and continuous learning.
  • Drive prioritization and execution across multiple workstreams, balancing long-term strategic investments with near-term business impact.
  • Partner with senior leaders across Product, Engineering, Operations, Workforce Management, Finance, and Data Platforms to identify opportunities, influence roadmaps, and align technical solutions with organizational goals.
  • Lead the development and operationalization of scalable machine learning and AI solutions, ensuring reliability, performance, governance, and maintainability across evolving systems and technologies.
  • Establish best practices for experimentation, model validation, deployment, monitoring, MLOps, and continuous improvement to support enterprise-scale AI capabilities.
  • Navigate complex dependencies across real-time systems, traditional machine learning models, and LLM-based architectures while driving scalable and sustainable technical solutions.
  • Influence architectural direction, technical standards, and platform strategy to improve consistency, scalability, and operational efficiency across teams and use cases.
  • Communicate complex technical concepts, business insights, trade-offs, and recommendations effectively to executive and non-technical stakeholders.
  • Build organizational capability by mentoring senior technical talent, developing future leaders, and creating scalable operating mechanisms that enable team growth and execution excellence.
  • Stay ahead of emerging trends in AI, machine learning, NLP, and generative AI, evaluating opportunities to create competitive advantage and measurable business value for Chewy.  

What You’ll Need

  • Master’s degree (or Ph.D.) in Data Science, Computer Science, Statistics, Engineering, or a related quantitative field.
  • 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related technical fields, including multiple years leading and scaling technical teams.
  • Proven experience driving large-scale AI/ML initiatives from concept through production in complex, cross-functional environments.
  • Demonstrated success leading teams across multiple domains or portfolios while influencing organizational strategy and business outcomes.
  • Deep expertise in machine learning, statistical modeling, experimentation, optimization, NLP, LLMs, and generative AI applications.
  • Strong understanding of scalable ML systems, MLOps, CI/CD pipelines, model governance, and operational best practices.
  • Experience partnering across Product, Engineering, Operations, and executive leadership to drive prioritization, alignment, and delivery.
  • Strong programming experience in Python or R, with proficiency in SQL and modern data/ML ecosystems.
  • Experience with cloud platforms and large-scale data technologies such as Spark, dbt, Iceberg, Redshift, Athena, or similar tools.
  • Exceptional communication, organizational, and stakeholder management skills, with the ability to translate complex technical concepts into strategic business recommendations.
  • Proven ability to navigate ambiguity, influence decision-making, and balance competing priorities in a fast-paced environment.

Nice to Have

  • Experience in customer care, contact center, workforce optimization, or operational analytics environments.
  • Experience with recommendation systems, graph-based modeling, optimization, or real-time decisioning systems.
  • Previous experience in retail, e-commerce, or high-growth technology organizations.
  • Experience building and scaling AI platforms or enterprise-wide machine learning capabilities. 
The base salary range for this role is $186,500 - $265,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011