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Remote Data Science R Jobs in Orland Park, IL (NOW HIRING)

Contribute to establishing standard methodologies for data science, including modeling, coding ... Demonstrated proficiency in programming languages like Python or R for purposes of model ...

Bachelor's degree or higher - Quantitative field such as Computing Science, Statistics, Mathematics ... Working hours are flexible and remote work is encouraged. We are an equal opportunity employer and ...

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

Data Scientist

Chicago, IL · On-site +1

$90K - $130K/yr

With offices in Chicago, Miami, and around the world through the power of remote work, we are a ... Use advanced data analytics to understand consumer risk behavior trends, their impact on the ...

Data Analyst

Chicago, IL · On-site +1

$95K - $110K/yr

Required Qualifications • Bachelor's degree in Data Science, Computer Science, Finance, or a ... Remote Work Opportunity About World Investment Advisors World Investment Advisors (formerly ...

Solutions Architect - Manufacturing

Chicago, IL · On-site +1

$65 - $85.50/hr

... remote candidates in other locations in various cities around the Central US. Mission We are ... Technical in big data, data science and cloud. * An ability in data-driven business transformation ...

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Showing results 1-20

Remote Data Science R information

See Orland Park, IL salary details

$37.2K

$121.8K

$194.9K

How much do remote data science r jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data science r in Orland Park, IL is $121,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are Remote Data Science R jobs?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

How do remote Data Science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.
What are popular job titles related to Remote Data Science R jobs in Orland Park, IL? For Remote Data Science R jobs in Orland Park, IL, the most frequently searched job titles are:
What cities near Orland Park, IL are hiring for Remote Data Science R jobs? Cities near Orland Park, IL with the most Remote Data Science R job openings:
Data Scientist - Portfolio (Hybrid)

Data Scientist - Portfolio (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Enova International rating

6.8

Company rating: 6.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.
About the role:
We are seeking a talented Data Scientist to join our Credit Risk Modeling team. In this role, you will develop, enhance and test our models for use in new customer acquisition and managing our existing customer portfolio. Our team focuses on ways to drive growth while balancing risk. You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the credit models and offer generation that power Enova's business. You will demonstrate the ability to interpret and organize data, and communicate it effectively to cross functional teams to solve business problems, provide requirements, and support implementation.
Our models power our lending decisions, providing critical risk insight to enable competitive and profitable loan offers. Your role will be essential in improving and managing this fundamental area of our business.
Key responsibilities:
  • Develop and refine proprietary models to assess customer credit profile
  • Collaborate closely with the Strategy and Operations team to drive new initiatives
  • Design and implement A/B testing frameworks to evaluate the performance of our models and product configurations, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on customer risk and product development strategies

Requirements:
  • Degree in Statistics, Mathematics, Economics, Computer Science, or a related field
  • 3+ years of experience in Data Science, Analytics or related field
  • Advanced programming skills and the ability to write customized programs for meaningful data analysis and predictive modeling (Python)
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Ability to improve your work flow and delivery timelines with AI tools.
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment
  • Experience in financial services, fintech, or a related industry preferred

Compensation:
The budgeted annual salary range for this position is$87,000 to $110,000 Actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the range shown. Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here.
Benefits & Perks:
  • Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results.
  • Health, dental, and vision insurance including mental health benefits
  • 401(k) matching plus a roth option (U.S. Based employees only)
  • PTO & paid holidays off
  • Sabbatical program (for eligible roles)
  • Summer hours (for eligible roles)
  • Paid parental leave
  • DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova)
  • Employee recognition and rewards program
  • Charitable matching and a paid volunteer day...Plus so much more!

About Enova
Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks-in order to create accessible credit for millions.
Being a values-driven organization is at the core of Enova's success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova's values and culture here.
It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.