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Data Science Leader Jobs in Illinois (NOW HIRING)

Data Scientist

Bolingbrook, IL ยท On-site

$102K - $130K/yr

But for those motivated by continual change and ambiguity, by superior leadership, by whip smart ... Design and develop data science and machine learning models to optimize operational tactics ...

Data Scientist

Bolingbrook, IL ยท On-site

$102K - $130K/yr

But for those motivated by continual change and ambiguity, by superior leadership, by whip smart ... Design and develop data science and machine learning models to optimize operational tactics ...

Data Scientist

Rosemont, IL ยท On-site

$99K - $124K/yr

Use the most effective machine learning techniques to answer data science questions, define data ... Document projects including business objectives, data gathering and processing, leading approaches ...

Data Scientist

Bolingbrook, IL ยท On-site

$102K - $130K/yr

But for those motivated by continual change and ambiguity, by superior leadership, by whip smart ... Design and develop data science and machine learning models to optimize operational tactics ...

Data Scientist

Chicago, IL ยท On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ...

Showing results 41-60

Data Science Leader information

See Illinois salary details

$44.6K

$159.9K

$236K

How much do data science leader jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data science leader in Illinois is $159,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,400.00 and $164,700.00 per year, depending on experience, location, and employer.

What is a data science leader?

A Data Science Leader is responsible for guiding teams in leveraging data to drive business decisions and innovation. They oversee data strategy, mentor data scientists, collaborate with stakeholders, and ensure that data-driven solutions align with company goals. Their role blends technical expertise with leadership, requiring strong skills in analytics, machine learning, and communication.

What are some common challenges faced by data science leaders, and how can they navigate them?

Data Science Leaders often face challenges such as aligning team efforts with business goals, managing diverse technical skill sets, and ensuring project stakeholders understand complex analytical insights. Balancing hands-on technical work with leadership responsibilities requires strong organizational and time management skills. Additionally, staying current with rapidly evolving tools and methodologies is essential for maintaining a team's competitive edge. Leveraging open communication, encouraging ongoing professional development, and building strong cross-functional relationships can help leaders successfully navigate these challenges.

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

To thrive as a Data Science Leader, you need deep expertise in statistical modeling, machine learning, and data analytics, usually supported by advanced degrees in data science or related fields. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and certifications such as Certified Analytics Professional (CAP) are commonly expected. Exceptional communication, strategic thinking, and team leadership skills set outstanding candidates apart. These competencies are critical for driving impactful data solutions, fostering innovation, and effectively guiding teams to deliver on business objectives.

What does a data science leader do?

A data science leader oversees data science teams, develops strategies for data analysis, and ensures the effective use of data to support business goals. They often coordinate projects, communicate insights to stakeholders, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership, communication skills, and a solid understanding of data science techniques are essential for this role.

What jobs does data science leader lead to?

A data science leader typically advances to senior roles such as Director of Data Science, Chief Data Officer, or Vice President of Data. These positions involve overseeing data strategy, managing teams, and aligning data initiatives with business goals, often requiring strong leadership, technical expertise, and experience with analytics tools and programming languages like Python or R.

What cities in Illinois are hiring for Data Science Leader jobs?

Cities in Illinois with the most Data Science Leader job openings:

Infographic showing various Data Science Leader job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $159,907 per year, or $76.9 per hour.

Senior Associate, Data Science

Bully Pulpit International

Chicago, IL โ€ข On-site

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. We come from politics, brands, and government and we communicate without barriers and measure what matters. We have more than 400 team members in six countries and thirteen offices — Berlin, Brussels, Chicago, D.C., London, Los Angeles, New York, Oslo, San Francisco, and Zürich. We apply our unique expertise across strategic communications, public affairs, research, and digital marketing to create sophisticated and customized strategies that make change possible for both American and European clients.

  • Starting Salary Range: $90,000 - $100,000 (+ annual bonus)
  • Location: Expectation to work from DC, New York, Chicago, SF or LA offices at least 3 days a week

The Impact You Will Make

In this role, you’ll lead projects using targeting, measurement, and competitive reporting to run more effective campaigns for corporate public affairs clients, while helping to advance our data science capabilities:

Driving integrated analytics projects: You’ll independently lead analytics efforts across complex client accounts - defining target audiences, measuring what works to persuade them, and tracking what other campaigns and news they’re seeing to help clients understand market dynamics.

Advancing our capabilities with new data and techniques: You’ll improve our suite of data science offerings using AI tools and new methodologies to run more effective campaigns and deliver deeper insights to our clients.

Consulting and project management: You’ll own the execution of entire workstreams, coordinating between clients and teams (including other specialty teams at BPI) and refining internal processes to work more efficiently and effectively.

What the Day-to-Day Looks Like

  • Design and execute experiments to measure the impact of public affairs and reputational advertising campaigns using surveys with RCT and causal inference methodologies.
  • Identify and build target audiences from varied data sources and analyze channel consumption habits and then blend that data with opinion data to build a comprehensive understanding of our audiences.
  • Translate complex statistical concepts and data into polished, client-ready decks and memos for non-technical stakeholders, including visualizing data.
  • Leverage statistics, predictive models, and advanced analytical tools like machine learning to analyze audience engagement and derive insights from news and social media monitoring.
  • Experiment with new data sources and AI tools to enhance deliverables and scale repeatable team tasks.
  • Coordinate project timelines and workflows across cross-functional internal teams.

Requirements

What You Bring

  • At least 4 years of analytics and data science experience. Experience in public affairs, corporate data, or political campaigns is strongly preferred.
  • Demonstrated expertise in R or Python for analyzing datasets, writing clean analysis scripts, and building visualizations and analysis deliverables.
  • Experience using SQL to filter, process, and prepare data.
  • Experience working with outputs from statistical models, predictive analytics, or causal inference to solve client problems and articulate results in plain language.
  • Strong visual polish and communication skills, with a proven ability to translate complex data into clear, client-ready narratives.
  • A collaborative mindset with a track record of supporting teammates informally on a peer-to-peer level (formal direct report management or structured training experience is not required).
  • A product-focused mindset with an interest in scaling one-off tasks into standardized workflows or tools alongside engineering teams.
  • Strong data intuition, critical thinking, and first-principles problem-solving abilities.

Benefits

BPI offers a wide range of benefits to U.S.-based employees, including 100% company-paid medical, dental, and vision insurance, a 401(k) program with employer match up to 4%, generous time off for vacation, $50 monthly phone reimbursement, unlimited sick time, and 16 weeks of paid leave for new parents. BPI’s benefits prioritize employee wellness and progressive support to our diverse workforce.

We’re looking for all kinds of people.  

BPI Group is an integrated public affairs agency that delivers outcomes for the top organizations and leaders around the world. With expertise in strategic communications, digital marketing, creative, research, and measurement, we offer a cohesive approach across corporate, policy, and public affairs strategy in today’s interconnected world. By combining incisive strategy and deep tactical expertise, we make change possible. Our transatlantic presence includes offices across eleven markets in the US and Europe.

We are an equal opportunity employer and make employment decisions based on individual commitment to excellence. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 
BPI is dedicated to building an inclusive, diverse, equitable, and accessible workplace that fosters a sense of belonging – so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, 
we encourage you to still consider submitting an application. We consider applications holistically and you may be just the right candidate for this role or another one of our openings!

Let’s keep in touch. Follow us on LinkedIn and Twitter at bpigroup.com