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Internship Data Science R Jobs in Illinois (NOW HIRING)

Support data science and analytics initiatives using SQL, Python, R, and Excel. Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. Qualifications ...

... data science, measurement, marketing strategy & analytics • Strong communication skills to 'tell a story' that provides insight into the business • Proficient coding skills (SQL/Python/R) and ...

Technical Skills - SQL, Advanced Excel, R/SAS Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Technical Skills - SQL, Advanced Excel, R/SAS. Nice to have Skill/Competency: * Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities:

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: * Must have at least 3 years of professional experience outside of academic or internship settings.

Strong programming skills in Python, SQL, and/or R * Experience with data science and machine learning-related libraries in Python (Pandas, scikit-learn, TensorFlow, NumPy, PyTorch, MLib, etc)

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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 Illinois? The most popular types of Data Science R jobs in Illinois are:

Senior Manager, Data Science

CHAMBERLAIN GROUP

Oak Brook, IL • Hybrid

$129K - $226K/yr

Full-time

Retirement

Posted 26 days ago


Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster and Chamberlain, are found in 51+ million homes, and 14 million+ people rely on the myQ app daily.

Job Summary

This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support

Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leadersand has a tangible impact on the business.

Essential Duties and Responsibilities

  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.

  • Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.

  • Drive development and execution of the data science methodology and practices strategy.

  • Lead technical engagements with business unit and function stakeholders, as well as senior leaders.

  • Be a catalyst for advanced analytics and data science across Chamberlain Group.

  • Educate business users on advanced analytical concepts.

  • Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.

  • Identify and apply innovative analytical techniques to achieve business objectives.

  • Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.

  • Identify and manage the relationship with outside data science resources and vendors.

  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.

  • Protect Chamberlain Group's reputation by keeping information confidential.

  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.

  • Contribute to the team effort by accomplishing related results and participating on projects as needed.

Supervision Exercised

  • Motivate and lead a high performance team by attracting, developing, engaging and retaining team members

  • Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies

  • Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications

  • Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.

Minimum Qualifications

Education/Certifications:

  • Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

  • 8+ years of relevant work experience; 2+ years directly managing data scientists

  • Knowledge, Skills, and Abilities:

  • Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis

  • Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented

  • Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors

  • Expertise directing, developing, and applying machine learning algorithms

  • Exceptional problem solving / analytical thinking skills

  • Outstanding communication skills, teamwork and collaboration, and attention to detail

  • Advanced expertise in Python, R, SQL

  • Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)

Preferred Qualifications

Education/Certifications:

Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:

Experience leading end-to-end data science project implementations working with Agile methodologies

Experience in analytical consulting roles

#LI-Hybrid

#LI-JM2

The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.

Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.


NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.