Head of Data Science job in Chicago, IL

Are you a data visionary with a passion for solving complex business challenges using advanced analytics and machine learning? We are seeking a Head of Data Science to lead our data-driven strategy and empower decision-making at a rapidly growing organization in Chicago, IL. In this pivotal leadership role, you will shape the future of data science, lead cross-functional teams, and deliver high-impact insights that fuel innovation and growth across the company.

Lead High-Impact Data Initiatives in the Heart of Chicago

A leading organization in Chicago, IL is looking for an experienced and strategic Head of Data Science to transform data into actionable intelligence. The ideal candidate will bring deep expertise in data science, statistical modeling, and AI, paired with a strong business acumen. This is your opportunity to lead a team of talented data professionals, establish scalable data infrastructure, and drive measurable value in a competitive and evolving landscape.

Key Responsibilities of the Head of Data Science – Chicago, IL

Strategic Data Leadership:
Define and execute the long-term data science vision and roadmap in alignment with overall business objectives. Drive the strategic use of data to create competitive advantages and foster a data-first culture across the organization.

Advanced Analytics & AI Implementation:
Lead the development and deployment of machine learning models, predictive analytics, and AI solutions to solve critical business problems. Ensure models are scalable, interpretable, and deliver measurable impact.

Cross-Functional Collaboration:
Work closely with engineering, product, marketing, and operations teams to integrate data science solutions into business processes. Translate complex analytics into actionable insights that inform decision-making across departments.

Team Building & Talent Development:
Build, mentor, and lead a high-performing team of data scientists, analysts, and machine learning engineers. Foster a culture of innovation, collaboration, and continuous learning.

Data Infrastructure & Governance:
Partner with data engineering and IT to ensure robust data architecture, clean data pipelines, and high-quality datasets. Establish and enforce data governance practices that ensure data privacy, security, and compliance.

Business Impact Measurement:
Define and monitor key performance indicators (KPIs) for all data science initiatives. Communicate outcomes and return on investment (ROI) to senior leadership and stakeholders through dashboards, reports, and presentations.

Innovation & Emerging Technologies:
Stay at the forefront of data science trends and technologies. Evaluate and implement new tools, techniques, and methodologies that enhance analytical capabilities and business performance.

Stakeholder Engagement & Communication:
Effectively communicate complex analytical concepts to non-technical stakeholders. Provide strategic insights and thought leadership to influence executive decision-making and drive organizational change.

Ethical Data Use & Compliance:
Ensure responsible and ethical use of data, including adherence to privacy laws (e.g., GDPR, CCPA) and organizational policies. Promote transparency and fairness in algorithmic decision-making.

Risk Assessment & Mitigation:
Identify and manage risks associated with data science models, including bias, overfitting, and data drift. Implement model monitoring and validation processes to ensure accuracy and reliability over time.

What the Client is Looking for in You

As the Head of Data Science, the client is seeking an analytical leader with a passion for leveraging data to solve complex business problems and unlock growth opportunities. You should be a results-oriented, strategic thinker who can lead data science initiatives from concept to execution, while inspiring a high-performing team. The ideal candidate thrives at the intersection of data, technology, and business strategy.

Proven Expertise in Data Science & Advanced Analytics

The client is looking for a seasoned data science professional with a deep understanding of machine learning, statistical modeling, and AI technologies. You should have experience deploying scalable models in production environments and a history of turning data into actionable business insights. Proficiency in Python, R, SQL, and data visualization tools is essential.

Strategic Vision with a Business-Centric Approach

You must demonstrate the ability to align data science initiatives with overarching business goals. The ideal candidate will have a track record of identifying opportunities for growth, optimizing operations through data, and shaping strategic roadmaps with measurable results. A strong grasp of business fundamentals and stakeholder management is highly valued.

Exceptional Leadership and Team Management Skills

The client seeks a leader who can inspire and lead a team of data scientists, analysts, and engineers. You should foster a collaborative, innovative environment that emphasizes continuous learning and professional development. Experience in hiring, mentoring, and managing cross-functional data teams is critical to success in this role.

Strong Communication and Storytelling Abilities

It’s not just about the data—you should be able to translate complex analytics into clear, actionable insights for non-technical stakeholders. The client is looking for someone who can effectively communicate data narratives, influence decision-making at the executive level, and contribute to cross-functional collaboration.

Hands-On with Data Infrastructure and Governance

In addition to strategic leadership, the client values hands-on expertise in data management practices, governance policies, and data infrastructure. Experience in working with cloud platforms (e.g., AWS, GCP, Azure) and modern data architecture is highly desirable. You should also be well-versed in ensuring data privacy, ethical AI use, and regulatory compliance.

Curiosity, Agility & Innovation Mindset

The ideal candidate is deeply curious, adaptive to change, and passionate about exploring emerging technologies. The client is looking for a forward-thinker who stays current with the latest trends in AI, big data, and analytics—and brings innovative ideas to the table to keep the organization ahead of the curve.

FAQs About the Role – Head of Data Science – Chicago, IL

1. What are the key responsibilities of the Head of Data Science in this role?
As the Head of Data Science, you will be responsible for defining and executing the company’s data science strategy, leading a team of data professionals, and delivering advanced analytics solutions that support business objectives. You will oversee the development and deployment of machine learning models, drive cross-functional data initiatives, ensure data governance and quality, and communicate insights to senior leadership.

2. What qualifications and experience are required for this position?
The ideal candidate should have a strong background in data science, computer science, statistics, or a related field. Extensive experience leading data science teams and projects is required, along with proficiency in Python, R, SQL, and cloud-based data platforms (e.g., AWS, GCP, Azure). A deep understanding of machine learning, AI, and statistical modeling is essential. A master’s or Ph.D. is preferred but not mandatory if balanced with strong industry experience.

3. What leadership qualities are essential for this role?
The client is looking for a strategic thinker and collaborative leader who can drive innovation through data. You should have excellent communication skills, the ability to manage and mentor teams, and the capability to translate technical insights into business outcomes. A high degree of curiosity, adaptability, and a passion for problem-solving are also key to success.

4. What challenges can I expect in this role?
As Head of Data Science, you may encounter challenges such as aligning data initiatives with evolving business priorities, managing complex datasets across departments, ensuring data privacy and compliance, and integrating new technologies into legacy systems. Driving adoption of data-driven decision-making across non-technical teams can also require strong interpersonal and change management skills.

5. How does this role impact the company’s overall strategy?
The Head of Data Science plays a crucial role in shaping the company’s data-driven culture and enabling smarter, faster business decisions. Your work will directly impact product innovation, customer experience, operational efficiency, and overall business performance. The insights and models you build will help drive measurable ROI and guide strategic planning.

6. What is the company’s data culture and work environment like?
The company promotes a collaborative, innovative, and fast-paced work environment where data is viewed as a strategic asset. You’ll work closely with stakeholders across various departments and have the opportunity to build scalable data science practices from the ground up. Continuous learning, experimentation, and cross-functional teamwork are highly encouraged.

What Remuneration Can You Expect from This Job?

As the Head of Data Science in Chicago, IL, you can expect a competitive and rewarding compensation package that reflects your expertise, leadership capabilities, and the strategic impact of your work. The remuneration for this role typically includes the following components:

1. Base Salary

The base salary for a Head of Data Science in a mid-to-large-sized organization in Chicago generally ranges from $180,000 to $250,000 annually. In high-growth or enterprise-level companies, especially those with a strong focus on data-driven innovation, the salary may exceed this range based on experience and scope of responsibility.

2. Performance-Based Bonuses

Annual bonuses are typically tied to individual and company-wide performance metrics, such as data project success, model deployment impact, business insights generated, and ROI from analytics initiatives. Bonuses can range from 15% to 40% of the base salary, depending on role performance and business outcomes.

3. Equity & Stock Options

Many companies, especially startups and tech-forward enterprises, offer equity-based incentives such as stock options or Restricted Stock Units (RSUs). These are designed to reward long-term commitment and align your success with the company’s growth. Equity packages can significantly increase total compensation, particularly in fast-scaling organizations.

4. Long-Term Incentive Plans (LTIPs)

For senior roles like this, long-term incentive plans may also be offered. These are structured to reward sustained performance over a multi-year period and are typically tied to company growth, profitability, and strategic achievements involving data science integration across the business.

5. Benefits & Perks

The benefits package often includes a variety of executive-level perks, such as:

Comprehensive health, dental, and vision insurance
401(k) with company match or other retirement savings options
Professional development allowances for conferences, certifications, and tools
Hybrid/remote work flexibility and generous PTO policies
Wellness programs and mental health support
Commuter benefits or relocation assistance if applicable

6. Signing Bonuses & Relocation Support

Top-tier candidates may be offered signing bonuses or relocation assistance, especially if moving to Chicago or transitioning from a similar leadership role elsewhere. These can range from $10,000 to $50,000+, depending on negotiation and seniority.

Total Compensation Potential

When factoring in salary, bonuses, equity, and benefits, total annual compensation for the Head of Data Science can range from $220,000 to $400,000 or more, especially in large or publicly traded organizations with a strong data strategy.

How to Apply

If you are a strategic, data-driven leader with a passion for innovation and a proven track record in building high-performing data science teams, we invite you to apply for the Head of Data Science role in Chicago, IL. This is a rare opportunity to influence company-wide decisions through advanced analytics, machine learning, and AI-driven strategies.

To apply, please submit your resume along with a cover letter highlighting your experience in:

Leading and scaling data science teams
Developing and deploying machine learning models
Driving business outcomes through data-driven decision-making
Building cross-functional data strategies
Managing data infrastructure, governance, and advanced analytics solutions

Be sure to showcase your technical expertise, leadership capabilities, and ability to translate complex data into actionable insights that support business growth and innovation.

This role offers a high-impact leadership opportunity in a fast-paced, data-centric environment where your contributions will shape product development, customer experience, and long-term strategic planning. Apply today to elevate your career as Head of Data Science in one of Chicago’s leading organizations.

For more information or to explore similar roles, visit our AI & Data Science Executive Recruiters Page.

Job Category: AI & Data Science

Job Type: Full Time

Job Location: Chicago

Head of Data Science job in Chicago, IL