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Remote Data Science Jobs in Illinois (NOW HIRING)

RR Donnelley

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

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 ...

RR Donnelley

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

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 ...

RR Donnelley

IL0219 - Data Scientist.

Warrenville, IL · On-site +1

$128K/yr

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 ...

Benchmark Solutions LLC

Data Analyst Lead

Chicago, IL · Remote

Driven by data science and powered by machine learning, our offering analyzes officer performance ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

New

Arrive Logistics

Data Scientist II

Chicago, IL · On-site +1

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 ...

CVS Health

Data Engineer

Downers Grove, IL · On-site +1

$113K - $135K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and 6 months of experience in the job offered or related ...

CVS Health

Data Engineer

Downers Grove, IL · On-site +1

$113K - $135K/yr

Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, or a related field and 6 months of experience in the job offered or related ...

NinjaHoldings

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 ...

NinjaHoldings

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 ...

seoClarity

Data Analyst, AI & ML (Chicago-based)

Chicago, IL · On-site +1

$24.99 - $25/hr

... remote work. ➡ Effortless commute options with valet parking on-site, quick access to the "L" at ... Bachelor's degree in Data Science, Analytics, Computer Science, Information Systems, Business ...

CVS Health

Data Engineer

Chicago, IL · On-site +1

$113K - $158K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data ... Master's degree (or foreign equivalent) in Computer Science, Information Management, Analytics ...

CVS Health

Data Engineer

Chicago, IL · On-site +1

$113K - $158K/yr

Data Engineer to analyze data engineering problems and develop, build and manage large-scale data ... Master's degree (or foreign equivalent) in Computer Science, Information Management, Analytics ...

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Showing results 1-20

All JobsRemote Data Science JobsRemote Data Science Jobs in Illinois

Remote Data Science information

See Illinois salary details

$20.6K

$91.7K

$175.1K

How much do remote data science jobs pay per year?

As of Jul 2, 2026, the average yearly pay for remote data science in Illinois is $91,732.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,383.00 and $127,234.00 per year, depending on experience, location, and employer.

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.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

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.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

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 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.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Illinois? The most popular types of Data Science jobs in Illinois are:
What are popular job titles related to Remote Data Science jobs in Illinois? For Remote Data Science jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Illinois look for? The top searched job categories for Remote Data Science jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Science jobs? Cities in Illinois with the most Remote Data Science job openings:
Remote Data Science jobs near you
Senior Data Scientist - GenAI (Retail)

Senior Data Scientist - GenAI (Retail)

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Posted 7 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions.
Responsibilities:
  • Work on the latest applications of data science to solve business problems
  • Work directly with client stakeholders to translate business problems into high level analytics solution designs
  • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
  • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably
  • Design and develop machine learning and Generative AI solutions using Databricks and Azure AI services.
  • Build LLM-powered applications and orchestrate workflows using LangGraph
  • Develop agentic AI workflows for automation, insights generation, and decision support
  • Implement Document Intelligence solutions for extracting insights from unstructured data
  • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights
  • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution

Requirements
  • 8 - 10 years of professional work experience with at least 5 years in Data Science
  • Proficiency in Python and SQL
  • Practical exposure to Retail , supply chain domain problems such as logistics, distribution networks, or demand planning.
  • Experience with MLflow and model lifecycle management
  • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
  • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.)
  • Experience with Bedrock, JumpStart, HuggingFace
  • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming)
  • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning
  • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.)
  • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
  • Experience building end-to-end ML pipelines in production
  • Familiarity with CI/CD pipelines, monitoring, and model governance
  • Ability to design scalable and reliable AI systems
  • Bachelor's in Business Analytics or equivalent work experience.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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