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

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United States, Remote/Hybrid Internship Please register at Zolve Internship Portal here: Role and ... R. * Contribute to statistical analysis, hypothesis testing, and predictive modeling to support ...

... R is a plus • Familiarity with data pipelines, APIs, or integrating data from multiple sources • Hands-on experience with data science and machine learning through internships, coursework, or ...

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ... Hands-on programming language skills (SQL, Python, R, etc) * Experienced in machine learning ...

Also, if our previous interns are any guides, you will have a ton of fun in the process ... Work hand-in-hand with our data science and engineering teams to design and implement data models ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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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:

Data Science and Analytics Intern

Zolve

Roseland, NJ • Remote

$15.92 - $17/hr

Part-time

Posted 25 days ago

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Job description

Position: Data Science and Analytics Intern

Duration: 9 Weeks (15th June’26 - 14th Aug’26)

Salary: $15.92 hourly (Minimum 20 hours per week)

Location & Job Type: United States, Remote/Hybrid Internship

Please register at Zolve Internship Portal here: https://bit.ly/4ntT4ud

Role and Responsibilities:

As a Data Science and Data Analytics Intern, you will play a crucial role in supporting our data-driven initiatives within the fast-paced world of financial technology. Collaborating with our experienced team, you will gain hands-on experience in analyzing and interpreting data to drive strategic decisions and innovation:

Data Analysis and Interpretation:

  • Collaborate with the data science team to analyze large datasets, extracting valuable insights and patterns.
  • Assist in cleaning, transforming, and preparing data for analysis using programming languages such as Python or R.
  • Contribute to statistical analysis, hypothesis testing, and predictive modeling to support business objectives.

Market Trends and Insights:

  • Conduct exploratory data analysis to identify trends, customer behaviors, and market opportunities within the fintech sector.
  • Assist in creating data visualizations and dashboards to effectively communicate complex information to stakeholders.

Machine Learning and Predictive Modeling:

  • Assist in the development and implementation of machine learning algorithms for tasks such as customer segmentation, churn prediction, and recommendation systems.
  • Collaborate with the team to fine-tune and optimize models for improved accuracy and performance.

Data-driven Decision Support:

  • Contribute to the generation of data-driven insights and recommendations to guide strategic decision-making within sales, marketing, and product development.
  • Participate in cross-functional discussions to share findings and contribute to actionable solutions.

Qualifications:

  • Bachelor’s / Master’s degree background from a US university.
  • Strong analytical skills, with the ability to manipulate and analyze data using programming languages (Python, R, etc.) and data analysis libraries (Pandas, NumPy, SciPy, etc.).
  • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) to effectively present findings.
  • Basic understanding of machine learning concepts and algorithms is a plus.
  • Excellent problem-solving skills and attention to detail.
  • Strong written and verbal communication skills.

Additional Information:

  • This is a paid internship opportunity.
  • Remote work options are available.
  • You will receive mentorship and guidance from experienced professionals.
  • Internship duration may be extended based on performance.
  • High-performing interns may also be considered for full-time opportunities.

Join us in revolutionizing the FinTech industry and contribute to our mission of transforming financial services through innovative solutions.

Company Description

Please register at Zolve Internship Portal here: https://bit.ly/4ntT4ud