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

Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate ...

Staff Data Scientist

Westchester, IL · On-site

$100 - $140/hr

Lead end-to-end data science projects, from problem framing and data exploration through model development, deployment, and monitoring * Design and build supervised, unsupervised, and deep learning ...

New

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 ...

Data Scientist

Chicago, IL · On-site

$130 - $155/hr

... projects. Qualifications * Education * Bachelor's degree in Materials Science, Chemistry, Chemical ... management practices * Experience with digital twins, hybrid modeling approaches, or combining ...

Collaborate with Data Engineering, Data Science, and Analytics teams to deliver AI, Machine ... Manage vendor relationships, budgets, project planning, and resource allocation. * Champion Agile ...

Lead end-to-end data science projects, from problem framing and data exploration through model development, deployment, and monitoring * Design and build supervised, unsupervised, and deep learning ...

The team is responsible for protecting existing global data science environments, modernizing data ... teams or manage research internson a project basis,as needed. * Participate ininterviewing and ...

We are seeking an experienced data science individual contributor to enable deep insights and ... project management skills, including managing technical resources and multiple priorities ...

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data. * Ability to translate ...

... mitigation analytics project. This role will help risk management teams identify high-risk ... Translate risk management business requirements into well-defined data science solutions, including ...

Data Scientist

Bolingbrook, IL · On-site

$102K - $130K/yr

Design and develop data science and machine learning models to optimize operational tactics ... projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and ...

Design and develop data science and machine learning models to optimize operational tactics ... projects, meeting deadlines, prioritizing appropriately and responding to issues quickly and ...

Showing results 41-60

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 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:
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.

Full-time

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Re-posted 13 days ago


JLL rating

8.3

Company rating: 8.3 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

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Job description

JLL empowers you to shape a brighter way.
Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
Lead Data Scientist ( Financial Forecasting & Modeling), Enterprise Analytics, JLL Technologies
JLL Technologies Enterprise Data team is a central organization that oversees JLL's data strategy. Enterprise Analytics is an internal consulting team that provides data-driven expertise to various business and support functions, with a growing focus on financial forecasting, AI-powered insights, and advanced predictive modeling. The Lead Data Scientist is a senior technical leader responsible for driving high-impact analytics initiatives, applying the latest machine learning and AI techniques to solve complex business problems.
The ideal candidate is passionate about using data and AI to drive business strategy and develop enterprise-grade data products. They will lead end-to-end data science projects, scoping, designing, and executing the vision, while collaborating with finance, operations, and technology stakeholders. Experience with financial forecasting and a command of modern AI/ML frameworks are essential to this role.
Key Responsibilities
  • Lead end-to-end data science projects by understanding business needs, scoping solutions, and delivering measurable outcomes. Act as a technical leader who advises, mentors, and delegates to junior data scientists and analysts.
  • Develop and own financial forecasting models, including revenue projections, cost modeling, budget variance analysis, and scenario planning, working closely with Finance and FP&A teams.
  • Apply the latest machine learning and deep learning techniques, including gradient boosting (XGBoost, LightGBM), transformer-based models, and time-series frameworks (Prophet, TFT) to build production-ready predictive solutions.
  • Leverage generative AI and large language model (LLM) capabilities, including agentic AI architectures, Retrieval-Augmented Generation (RAG), and prompt engineering, to build intelligent data products and automate analytical workflows.
  • Design and implement MLOps practices including model versioning, monitoring, automated retraining pipelines, and CI/CD for ML models to ensure scalability and reliability in production.
  • Enhance data collection and feature engineering procedures to improve analytical systems; perform data discovery across internal and external sources to assess data value and relationships.

Experience
  • 5+ years of hands-on industry experience designing and implementing machine learning models and data science solutions, with at least 3 years in a lead or senior individual contributor role.
  • Demonstrated experience in financial forecasting and FP&A analytics including time-series forecasting, budget modeling, revenue/cost prediction, and scenario analysis.
  • Proven track record of deploying machine learning models to production at scale using cloud platforms (AWS, Azure, or GCP) and MLOps tooling.
  • Experience working cross-functionally with Finance, Technology, and Operations stakeholders to translate business requirements into analytical solutions.

Education
  • Masters degree (or higher) in Applied Mathematics, Statistics, Data Science, Computer Science, Economics, Finance, or Engineering.

This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.
Estimated compensation for this position:
140,000.00 - 150,000.00 USD per year
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.
Location:
On-site -Chicago, IL
If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table!
Personalized benefits that support personal well-being and growth:
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:
  • 401(k) plan with matching company contributions
  • Comprehensive Medical, Dental & Vision Care
  • Paid parental leave at 100% of salary
  • Paid Time Off and Company Holidays
  • Early access to earned wages through Daily Pay

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.
JLL Privacy Notice
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.
For additional details please see our career site pages for each country.
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.
Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.
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Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Accepting applications on an ongoing basis until candidate identified.

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