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Remote Data Scientist Jobs in Joliet, IL (NOW HIRING)

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 ...

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 ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

TSMG

AI/ML Data Contributor

Chicago, IL · Remote

Projects may vary in scope and format, offering both remote and in-person opportunities (such as ... Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ...

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): ...

S4 Market Data

Market Data Analyst

Chicago, IL · Remote

PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT ... The candidate needs to be located in the US, this is a fully remote position. Responsibilities:

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$36.3K

$118.8K

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How much do remote data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data scientist in Joliet, IL is $118,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $131,600.00 per year, depending on experience, location, and employer.

What Is the Job of a Remote Data Scientist?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What are remote data scientists?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

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

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

More about Remote Data Scientist jobs
What are popular job titles related to Remote Data Scientist jobs in Joliet, IL? For Remote Data Scientist jobs in Joliet, IL, the most frequently searched job titles are:
What cities near Joliet, IL are hiring for Remote Data Scientist jobs? Cities near Joliet, IL with the most Remote Data Scientist job openings:
Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Joliet, IL as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 75% Full Time, 13% Part Time, 1% Temporary, and 8% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $118,792 per year, or $57.1 per hour.
Senior Data Scientist - GenAI (Retail)

Senior Data Scientist - GenAI (Retail)

Tiger Analytics Inc.

Chicago, IL • On-site, Remote

Full-time

Posted 2 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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