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Data Science Project Manager Jobs in Aurora, IL (NOW HIRING)

Inspire11

Data Science Consultant

Chicago, IL · On-site

Experience seeing through a data science project from scoping to solution * Fundamental knowledge ... In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

Experience seeing through a data science project from scoping to solution * Fundamental knowledge ... In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

Manages project scope, expectations, and timelines. * Collaborates with Data Engineering, IT, and ... science, analytics, or AI environment. * Prior experience mentoring or managing talent.

Thoughtworks

Principal Data Scientist

Chicago, IL · On-site

You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that ...

Varsity Tutors

Data Science Tutor

Wheaton, IL · Remote

$18 - $40/hr

... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ... Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows ...

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All JobsData Science Project JobsData Science Project Manager JobsData Science Project Manager Jobs in Aurora, IL

Data Science Project Manager information

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$57

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How much do data science project manager jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data science project manager in Aurora, IL is $57.02, according to ZipRecruiter salary data. Most workers in this role earn between $49.33 and $66.73 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What is the difference between Data Science Project Manager vs Data Analyst?

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.
What are popular job titles related to Data Science Project Manager jobs in Aurora, IL? For Data Science Project Manager jobs in Aurora, IL, the most frequently searched job titles are:
What job categories do people searching Data Science Project Manager jobs in Aurora, IL look for? The top searched job categories for Data Science Project Manager jobs in Aurora, IL are:
What cities near Aurora, IL are hiring for Data Science Project Manager jobs? Cities near Aurora, IL with the most Data Science Project Manager job openings:
Data Science Project Manager jobs near you
Infographic showing various Data Science Project Manager job openings in Aurora, IL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $118,592 per year, or $57 per hour.

Sr. Manager, Data Science (Marketing)

Chamberlain Group

Oak Brook, IL • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Chamberlain Group is a global leader in intelligent access, making access simple and secure for millions of homeowners and businesses. The Sr. Manager, Data Science (Marketing) will work closely with business partners to apply innovative data science techniques to advance business objectives while leading and managing a team of data scientists.
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.
• 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.
Qualifications:
Required:
• Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
• 8+ years of relevant work experience; 2+ years directly managing data scientists
• 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:
• Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
• Experience leading end-to-end data science project implementations working with Agile methodologies
• Experience in analytical consulting roles
Company:
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Founded in 1906, the company is headquartered in Elmhurst, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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