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Data Science Manager Jobs in Chicago, IL (NOW HIRING)

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

What You Will Do As a data scientist / technical analyst you may ... Develop models to power asset management solutions for customers and dealers using machine learning ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross-functional partners in actuarial, data engineering, and other modeling organizations to deliver ...

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All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Chicago, IL

Data Science Manager information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do data science manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data science manager in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Chicago, IL? The most popular types of Data Science jobs in Chicago, IL are:
What are popular job titles related to Data Science Manager jobs in Chicago, IL? For Data Science Manager jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Chicago, IL look for? The top searched job categories for Data Science Manager jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Science Manager jobs? Cities near Chicago, IL with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,073 per year, or $48.1 per hour.
Senior Manager, Data Science

Senior Manager, Data Science

Chamberlain Group

Oak Brook, IL • On-site

$129K - $226K/yr

Full-time

Retirement

Re-posted 6 days ago

Job description

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.
Job Summary
This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support
Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leadersand has a tangible impact on the business.
Essential Duties and Responsibilities
  • Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
  • Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent.
  • Drive development and execution of the data science methodology and practices strategy.
  • Lead technical engagements with business unit and function stakeholders, as well as senior leaders.
  • Be a catalyst for advanced analytics and data science across Chamberlain Group.
  • Educate business users on advanced analytical concepts.
  • Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact.
  • Identify and apply innovative analytical techniques to achieve business objectives.
  • Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions.
  • Identify and manage the relationship with outside data science resources and vendors.
  • Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
  • Protect Chamberlain Group's reputation by keeping information confidential.
  • Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies.
  • Contribute to the team effort by accomplishing related results and participating on projects as needed.

Supervision Exercised
  • Motivate and lead a high performance team by attracting, developing, engaging and retaining team members
  • Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies
  • Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications
  • Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values.

Minimum Qualifications
Education/Certifications:
  • Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study

Experience:
  • 8+ years of relevant work experience; 2+ years directly managing data scientists
  • Knowledge, Skills, and Abilities:
  • Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis
  • Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented
  • Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors
  • Expertise directing, developing, and applying machine learning algorithms
  • Exceptional problem solving / analytical thinking skills
  • Outstanding communication skills, teamwork and collaboration, and attention to detail
  • Advanced expertise in Python, R, SQL
  • Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)

Preferred Qualifications
Education/Certifications:
Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
Experience leading end-to-end data science project implementations working with Agile methodologies
Experience in analytical consulting roles
#LI-Hybrid
#LI-JM2
The pay range for this position is $129,700.00 - $226,900.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.
Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com.
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

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