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Internship Data Science R Jobs in New York (NOW HIRING)

Oscar Health

Senior Manager, Data Science

New York, NY · Hybrid

$180K - $236K/yr

We're hiring a Senior Manager, Data Science to join our Data Team. Oscar is the first health ... SQL, R, and/or Python to query, manipulate and analyze data * 4+ years experience building data ...

Omnicom Media US H&S

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

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Internship Data Science R information

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.
What are the most commonly searched types of Data Science R jobs in New York? The most popular types of Data Science R jobs in New York are:
What cities in New York are hiring for Internship Data Science R jobs? Cities in New York with the most Internship Data Science R job openings:
Internship Data Science R jobs near you
Senior Manager, Data Science

Senior Manager, Data Science

Oscar Health

New York, NY • Hybrid

$180K - $236K/yr

Other

PTO

Posted 24 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

226th of 260 rated insurance

Job description

Hi, we're Oscar. We're hiring a Senior Manager, Data Science to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

We are a team of data scientists and analysts who bridge and business to deliver measurable results and transformative impact. You will lead a team dedicated to quantifying, analyzing, and accelerating growth and engagement. You will partner with Sales, Marketing, and Strategic Finance to model our growth funnels, create predictive models that forecast churn, and align macro market dynamics with Oscar's strategic roadmap.

You will report into the Director, Data Science.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

  • Translates business goals into plans and tactics for the team
  • Works with more senior leaders to establish longer term strategies and roadmaps 
  • Participates in team-wide technical and operations management responsibilities
  • Leads and manages a small team of data scientists and/or analysts
  • Interacts and collaborates closely with data and business management across functional areas
  • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
  • Compliance with all applicable laws and regulations
  • Other duties as assigned 

Requirements:

  • 6+ years of industry or other quantitative technical fields (which may include academia)
  • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
  • 1+ years of people management experience (for people manager roles)

Bonus points:

  • Advanced degree in a quantitative or technical field
  • Experience in the healthcare, finance and/or insurance industries


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