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Data Scientist Jobs in Park Ridge, IL (NOW HIRING)

Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name ...

Description Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture. We're a global, innovative management and technology consulting firm with offices in the U.S. and India.

The Role Green Thumb Industries is building a data science function that powers real operational decisions - demand forecasting that drives inventory positioning, analytics science that surfaces what ...

The Kemper Claims Data Science team has an immediate opening for a Data Scientist to make lasting impact through building and deploying predictive models and applied LLM-based solutions. Candidates ...

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The Role Green Thumb Industries is building a data science function that powers real operational decisions - demand forecasting that drives inventory positioning, analytics science that surfaces what ...

The Data Scientist will perform data analysis, statistical analysis, and develop algorithms and methodologies on structured and unstructured data for on-demand and software-embedded use. Manage key ...

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Responsibilities * Assist with and execute data science projects, working with product, engineering and/or customer service teams to identify requirements, perform analysis, and present results and ...

Data scientists at Thoughtworks are strategic leaders who spearhead data-driven initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding ...

Description Benda Infotech is excited to welcome a Junior Data Scientist to our innovative team in Chicago. This full-time, on-site position offers a fantastic opportunity for entry-level ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

Data scientists at Thoughtworks are strategic leaders who spearhead data-driven initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding ...

The Data Scientist partners closely with Commercial Analytics leadership and cross-functional stakeholders to convert business questions into advanced analytical, machine learning, and AI-enabled ...

Job Title Junior Data Scientist Summary This role sits at the intersection of real estate economics, urban analysis, and data science. The Junior Data Scientist will support the development and ...

Data Scientist

Chicago, IL · On-site

$129K/yr

Bachelor's degree in Statistics, Mathematic, Computer Science, Engineering or a related field, plus at least two (2) years of experience in data analysis or an equivalent combination of related ...

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Data Scientist information

See Park Ridge, IL salary details

$36.9K

$120.8K

$193.4K

How much do data scientist jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data scientist in Park Ridge, IL is $120,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $133,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Park Ridge, IL? The most popular types of Data Scientist jobs in Park Ridge, IL are:
What are popular job titles related to Data Scientist jobs in Park Ridge, IL? For Data Scientist jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Data Scientist jobs in Park Ridge, IL look for? The top searched job categories for Data Scientist jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Data Scientist jobs? Cities near Park Ridge, IL with the most Data Scientist job openings:
Data Scientist

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Data Scientist

AArete is one-of-a-kind when it comes to consulting firm culture.

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveragingadvanceanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will help design, evaluate, and operationalize advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.

Work You'll Do

  • Mine and analyze data to drive optimization and improvement of business strategies
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Design, prototype, and evaluate Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls
  • Apply advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve client business problems
  • Leverage AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Partner with business and technical stakeholders to rapidly learn new domains, frame ambiguous problems, and translate AI/ML opportunities into measurable client outcomes
  • Other duties as assigned

Requirements

  • 3-5 years of work experience with a bachelor's degree in quantitative field such as Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Hands-on Agentic AI experience, including building or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Advanced Generative AI experience, including prompt engineering, LLM application design, model evaluation, responsible AI practices, and practical implementation of AI-enabled solutions
  • Strong Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
  • Solid AI/ML background with practical experience across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving skills with the ability to structure ambiguous business questions, test hypotheses, and deliver practical analytical recommendations
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with businessintelligence platforms: Tableau, Power BI, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, S3, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: recruiting@aarete.com

Privacy: privacy@aarete.com

We are an Equal Employment Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

#LI-DNI

Employment Type: Full-Time