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

Associate Director, Data Science

Chicago, IL ยท On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling ... Demonstrated ability to manage multiple client engagements and priorities in a fast-paced ...

Associate Director, Data Science

Chicago, IL ยท On-site

$112 - $161/hr

Working closely with senior Data Science leadership, this role applies to statistical modeling ... Demonstrated ability to manage multiple client engagements and priorities in a fast-paced ...

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Role : Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are ... Design and manage AWS cloud infrastructure using Terraform following IaC best practices. * Build ...

New

Data Science/MLOps Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

Role : Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are ... Design and manage AWS cloud infrastructure using Terraform following IaC best practices. * Build ...

New

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 ...

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 ...

Showing results 21-40

Data Science Manager information

See Willowbrook, IL salary details

$30.7K

$96.1K

$170.1K

How much do data science manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science manager in Willowbrook, IL is $96,079.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,100.00 per year, depending on experience, location, and employer.

What is a data science manager?

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.

What does a data science manager do?

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 skills and qualifications are needed to be a data science manager?

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 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 with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

What are the most commonly searched types of Data Science jobs in Willowbrook, IL?

The most popular types of Data Science jobs in Willowbrook, IL are:

What job categories do people searching Data Science Manager jobs in Willowbrook, IL look for?

The top searched job categories for Data Science Manager jobs in Willowbrook, IL are:

What cities near Willowbrook, IL are hiring for Data Science Manager jobs?

Cities near Willowbrook, IL with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Willowbrook, IL as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $96,079 per year, or $46.2 per hour.

Associate Director, Data Science

UNAVAILABLE

Chicago, IL โ€ข On-site

$112 - $161/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Company Description

PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.

Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.

Job Description

Position Summary

This role plays a key role in delivering advanced analytics and audience solutions for pharmaceutical and healthcare clients. Working closely with senior Data Science leadership, this role applies to statistical modeling, machine learning, and AI-driven approaches to transform complex data into actionable insights that inform marketing strategy, audience engagement, and business decisions.

You will serve as a technical lead across multiple client engagements, partnering with cross-functional teams to develop privacy-compliant, data-driven solutions. This individual combines strong analytical expertise with a consultative mindset and a passion for solving complex business challenges through data.

Responsibilities

Key Responsibilities

  • Lead the design, development, validation, and deployment of statistical models, predictive analytics, and machine learning solutions for client and internal initiatives.
  • Consult with client teams and internal stakeholders to understand business objectives, audience strategies, and measurement needs, translating those into scalable analytical approaches.
  • Analyze large, complex datasets using privacy-compliant data sources to uncover actionable insights that inform audience segmentation, targeting, optimization, and campaign performance.
  • Leverage healthcare-specific data assets, including HCP/NPI-level, claims, prescription, and other healthcare data sources, to develop actionable audience, measurement, and commercial insights while ensuring compliance with HIPAA and applicable privacy regulations.
  • Apply advanced media measurement methodologies, including marketing mix modeling (MMM), multi-touch attribution, incrementality testing, lift studies, and experimental design to evaluate campaign effectiveness and optimize marketing investments.
  • Apply advanced statistical methods, predictive modeling, and supervised and unsupervised machine learning techniques to solve marketing and business challenges.
  • Develop practical applications of AI and advanced analytics to improve insights, workflow efficiency, and decision-making.
  • Leverage cloud-based data platforms and modern analytics environments to extract, transform, and analyze data from a variety of sources.
  • Build clear presentations, dashboards, and visualizations that communicate analytical findings and strategic recommendations to technical and non-technical audiences.
  • Drive automation of recurring analyses, reporting, and model monitoring to improve operational efficiency and scalability.
  • Promote best practices in statistical analysis, model validation, documentation, data quality, and reproducible analytics.
  • Collaborate closely with Strategy, Media, Technology, Analytics, and Client teams to deliver integrated, data-driven solutions.
  • Mentor Data Scientists and Analysts by providing technical guidance, coaching, and support for ongoing development.
  • Stay current on emerging analytics, AI, and healthcare marketing trends, contributing ideas that strengthen the agency's analytics capabilities and offering
Qualifications

Requirements

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred.
  • 7+ years of experience in data science, statistical modeling, machine learning, predictive analytics, or marketing analytics.
  • Experience leading complex analytics projects and providing technical leadership to cross-functional teams.
  • Advanced proficiency in Python, R, SQL, and modern data visualization tools.
  • Experience working with cloud-based analytics platforms such as Azure, Databricks, Snowflake, AWS, or similar technologies.
  • Experience in applying AI and advanced analytics to solve complex business problems and improve marketing effectiveness.
  • Strong understanding of statistical modeling, machine learning, predictive analytics, experimental design, media measurement methodologies (including marketing mix modeling, attribution, incrementality, and lift testing), and data visualization techniques.
  • Excellent communication and presentation skills with the ability to translate complex analytical concepts into clear, actionable recommendations.

Preferred Qualifications

  • Demonstrated ability to manage multiple client engagements and priorities in a fast-paced, collaborative environment.
  • Experience mentoring junior team members and fostering technical best practices.
  • Experience within healthcare, pharmaceutical, life sciences, or marketing analytics.
  • Experience working with healthcare and pharmaceutical data sources, including HCP/NPI-level data, medical and pharmacy claims, prescription data, and commercial healthcare datasets.
  • Familiarity with healthcare data vendors and platforms, including HealthVerity, Symphony Health, MMIT, Komodo Health, IQVIA, PurpleLab, or similar data providers.
  • Experience working within privacy-safe data environments, including clean rooms and HIPAA-compliant environments, with knowledge of PHI, de-identified, and limited datasets.
Additional Information

Our Publicis Groupe motto โ€œViva La Diffรฉrenceโ€ means weโ€™re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

Compensation Range: USD $112,290.00 - USD $161,280.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/1/2026.

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