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

You will be responsible for data science projects across the healthcare domains of clinical ... Strong communication and project management skills are preferred Application requirements: 1) ...

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 ...

Data Science Tutor

Dekalb, 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 ...

Data Science Tutor

Oak Lawn, 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 ...

Data Science Tutor

Schaumburg, 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 ...

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 ...

Data Science Tutor

Chicago, 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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Data Science Project Manager information

See Aurora, IL salary details

$16

$57

$79

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

As of Sep 1, 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 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 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 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:

Infographic showing various Data Science Project Manager job openings in Aurora, IL as of August 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $118,592 per year, or $57 per hour.

$51K - $87K/yr

Full-time

Re-posted 4 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Applications submitted without a personal statement will not be considered. Please upload a single combined PDF containing both your resume and personal statement in the Resume/CV section of the application in the following order: 1) Resume 2) Personal statement (View details below) Required application materials: 1) Resume 2) Personal statement (1,000 words max) Why Vizient Why this fellowship Summary In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights. Responsibilities Work with internal data science teams on assigned projects. Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties. Conduct self-directed research into healthcare data topics. Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship. Qualifications Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired. No previous work experience is required.

Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required. Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required. Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred

Solid understanding of machine learning operations is preferred. Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred. Strong communication and project management skills are preferred

Application requirements: 1) Resume 2) Personal statement (1,000 words max) Why Vizient Why this fellowship Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances.

The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan

Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.