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

Rundoo

Data Science Intern

Chicago, IL · On-site +1

$1.20K/wk

Data Science Intern at Rundoo Our mission is to empower independent supply stores with best-in ... final call (remote) - A closing conversation with our CEO. About Our Founders * Andrew (CTO): ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153.20K - $229.80K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

Alignerr

Data Scientist (Masters)

Chicago, IL · Remote

This is a fully remote, flexible contract role. No prior AI industry experience required - just deep, hands-on command of data science and the ability to think critically about how models reason.

HNI

Sr. Data Scientist

Chicago, IL · Remote

... data science solutions are scalable, reliable, and aligned to strategic priorities. WORK AUTHORIZATION & LOCATION REQUIREMENT This position is primarily remote but requires candidates to reside ...

The Hartford

Data Scientist

Chicago, IL · On-site +1

$90.16K - $135.24K/yr

... science team responsible for designing and delivering powerful analytical insights utilizing ... This role can have a Hybrid or Remote work arrangement depending on experience and skillset.

Elios, Inc.

Senior Data Scientist

Chicago, IL · On-site +1

$140K - $160K/yr

Senior Data Scientist - (Remote) Location: Remote (Company Headquarters: Chicago, IL) Salary Range: $140,000 - $160,000 per year Employment Type: Full-Time About Us: We are an innovative software ...

Tempus

AI Data Science Summer Associate

Chicago, IL · On-site +1

$35/hr

Tempus is seeking an AI Data Science Summer Associate focused on applying advanced data science, AI, and machine learning techniques to solve complex business and research problems. You will join a ...

Citigroup Inc

Data Science Lead Analyst

Schaumburg, IL · On-site +1

$163.30K/yr

A. seeks a Data Science Lead Analyst for its Schaumburg, Illinois location. Duties: Code, test, and execute the requirements for simple-to-complex Retail Services Partner Delivery data processing ...

Quanta Search

Data Scientist

Chicago, IL · Remote

The data science team consists of highly motivated and experienced data scientists and they are a strategic partner in developing and evolving the processes, technology, and decisions of the business.

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Remote Data Science information

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 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 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.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Libertyville, IL? The most popular types of Data Science jobs in Libertyville, IL are:
What are popular job titles related to Remote Data Science jobs in Libertyville, IL? For Remote Data Science jobs in Libertyville, IL, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Libertyville, IL look for? The top searched job categories for Remote Data Science jobs in Libertyville, IL are:
What cities near Libertyville, IL are hiring for Remote Data Science jobs? Cities near Libertyville, IL with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Libertyville, IL as of May 2026, with employment types broken down into 69% Full Time, 28% Part Time, and 3% Contract. Highlights an 36% Physical, 3% Hybrid, and 61% Remote job distribution.
Remote Data Scientist

Remote Data Scientist

Software Technology Inc

Deerfield, IL • Remote

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Analyst

Responsible for applying advanced data analysis tools and techniques to provide insights and actionable recommendations for the business. Utilizes complex statistical modeling to make predictions about future outcomes and in multiple scenarios.

Interprets and applies data in complex analyses, and explains findings to business audiences to improve products and processes.

May support or lead the development of data-related commercial offerings and/or other intellectual property (IP)

Implements statistical and mathematical analyses to support business decision making.

Develops and/or uses algorithms and statistical predictive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.

Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis, and data mining.

Documents projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics.

Develops materials to explain project findings.

Effectively resolves problems and roadblocks as they occur.

Interacts with internal and external peers and/or managers to exchange semi-complex information related to assigned activities.

Prepares and presents an interpretation of findings to internal clients.

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