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Internship Data Science R Jobs in Dallas, TX (NOW HIRING)

Michaels Stores

Manager - Data Science

Irving, TX · On-site

The Manager - Data Science role is essential for determining effective CRM tactics that drive ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

State Farm

Data Scientist

Richardson, TX · Hybrid

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Michaels Stores, Inc.

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

Michaels Stores

Manager - Data Science

Irving, TX · On-site

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

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

As of Sep 10, 2026, the average hourly pay for internship data science r in Dallas, TX is $22.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 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.

What cities near Dallas, TX are hiring for Internship Data Science R jobs?

Cities near Dallas, TX with the most Internship Data Science R job openings:

Internship Data Science R jobs near you

Manager - Data Science

Irving, TX • On-site

Michaels Stores
Retail • 10K+ employees
Learn more about Michaels Storesexternal

Full-time

Re-posted 2 days ago

Michaels rating

4.8

Company rating: 4.8 out of 10

Based on 955 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Michaels Stores is the leading destination for creativity and celebration, operating over 1,300 stores across North America. The Manager – Data Science role is essential for determining effective CRM tactics that drive long-term customer value, utilizing advanced analytics and machine learning techniques to optimize marketing spend and communicate insights effectively.
Responsibilities:
• Strategic Thought Partnership
• Design and execute analytics projects to quantify impact from various marketing campaigns
• Identify growth opportunities for the business leveraging innovation and advanced analytical techniques
• Work with business partners to identify the challenges that needs to be quantified
• Act as subject matter expert for all projects in which involved
• Mine extensive database in support of business insights and measurement
• Develop well-thought, actionable insights using advanced analytics techniques
• Determine best approach for each analysis and articulate pros/cons of methodology
• Ensure quality of data used in analysis and all presentation material
• Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
• Automate standard deliverables and reduce repetitive processes for self and team
• Manage internal client relationships and serve as the SME for analytics within the CRM function
• Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
• Provide strategic recommendations based on analyses tied to the organization’s goals that will drive business results
• Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline
• Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge.
• Implement cutting-edge tools and best practices to enhance analytics capabilities.
• Manage a team of data scientists
• Mentor analysts regarding analytics best practices, methodologies, and programming techniques
• Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement
Qualifications:
Required:
• Bachelor’s degree in relevant quantitative field required
• Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
• Proven track record of using data to provide actionable business results
• A minimum of 5 years of relevant work experience in data science for a consumer centric company
• Proven experience partnering with business decision makers on advanced analytics topics
• Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts
• Work as a self-starter, not waiting for direction from senior leadership
Preferred:
• Master’s preferred
• Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)
Company:
Michaels Stores is an arts and crafts supplier store that offers framing, floral, art, kids' crafts, yarn, beading, and scrapbooking. Founded in 1973, the company is headquartered in Irving, USA, with a team of 10001+ employees. The company is currently Late Stage.

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