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Remote Data Science Jobs in Naperville, IL (NOW HIRING)

Advanced degree (Master's with 2+ years experience or equivalent) in data science, bioinformatics ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Senior Data Scientist

Chicago, IL · On-site +1

$103K - $172K/yr

... and the ranges for remote candidates are $95,900 - $159,800 . This role is eligible for an ... Bachelor's Degree BS in technical field such as Statistics, Mathematics, Data Science, Applied ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Master's degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation. Must have two (2) years of experience with/in: * Programming and sara ...

Data Scientist II

Chicago, IL · On-site +1

$130K - $150K/yr

Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2-4 years of applied ML or data science experience, or equivalent practical ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

Experience with continuous integration, especially in a data science context * Experience with Ruby on Rails Benefits: * Competitive salary and benefits package * Flexible, remote work * Fun, fast ...

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 ...

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 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 ...

Showing results 21-40

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What are the most commonly searched types of Data Science jobs in Naperville, IL?

The most popular types of Data Science jobs in Naperville, IL are:

What are popular job titles related to Remote Data Science jobs in Naperville, IL?

For Remote Data Science jobs in Naperville, IL, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Naperville, IL look for?

The top searched job categories for Remote Data Science jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Data Science jobs?

Cities near Naperville, IL with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Scientist - Pricing & Profitability (Hybrid)

Enova International

Chicago, IL • On-site, Remote

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 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 Pricing and Profitability team, a critical unit within our Data Science & Credit Risk department. This team is at the heart of our business operations, ensuring that our lending decisions not only meet our risk management standards but also maximize our company's profitability. You will play a pivotal role in shaping our lending strategies, balancing risk and reward to drive our mission forward.
You will independently dive into open-ended problems in order to present recommendations to executives and actively manage the pricing and credit models that power Enova's business. You will be responsible for proactively identifying trends in financial performance to improve these models.
Your work will be wide-ranging and impactful, exposing you to adjacent operations and stakeholders in the fields of credit operations, capital markets, financial planning and analysis, marketing, and sales. You will collaborate with these internal stakeholders and use modeling and analysis to present a clear and cohesive vision for the financial impact of their own initiatives.
Key responsibilities:
  • Develop and refine models to optimize pricing strategies across various customer segments, ensuring alignment with our company's risk appetite and return objectives
  • Collaborate closely with the Credit Risk Modeling team to understand our proprietary risk models, and incorporate them effectively into profitability models
  • Design and implement A/B testing frameworks to evaluate the performance of pricing strategies, analyzing outcomes to drive continuous improvement
  • Communicate insights and recommendations to senior management, providing a data-driven perspective on pricing and product development strategies

Requirements:
  • Degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field
  • 2+ years of experience in Data Science, Analytics or related field
  • Proficient programming skills with Python and the ability to write customized programs for meaningful data analysis
  • Experience working with relational databases, such as SQL
  • Excellent knowledge in applied statistical methods and machine learning models
  • Strong problem-solving skills and the ability to work independently in a fast-paced, dynamic environment

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.

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