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Lead Data Scientist Jobs in Schaumburg, IL (NOW HIRING)

Lead Data Scientist Cincinnati, OH; Chicago, IL 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and ...

Senior Lead Data Scientist California Santa Clara, Chicago, Dallas, Atlanta, NY Full Time We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales ...

Lead Data Scientist Location: Chicago IL (Hybrid Model) (3WFO/2WFH) Duration: Long Term The Analytics and Insights team is seeking a data scientist who loves working on complex problems and getting ...

Lead Data Scientist

Chicago, IL · Remote

$163K - $204K/yr

Your opportunity As a Lead Data Scientist, you will be a technical cornerstone of the analytics organization, driving the development of advanced data products and machine learning solutions that ...

Lead Data Scientist

Chicago, IL · On-site

$117.60K - $206K/yr

You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational ...

Lead Data Scientist

Chicago, IL · On-site

$117.60K - $206K/yr

You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational ...

You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational ...

Lead Data Scientist

Oak Brook, IL · On-site

$102.60K - $193.43K/yr

... into clear data science and advanced analytics models and solutions that can and will be adopted and implemented * Ability to effectively lead projects from conception to conclusion, both ...

Lead Data Scientist

Oak Brook, IL · Hybrid

$102.60K - $193.43K/yr

... into clear data science and advanced analytics models and solutions that can and will be adopted and implemented * Ability to effectively lead projects from conception to conclusion, both ...

Lead Data Scientist

Oak Brook, IL · Hybrid

$102.60K - $193.43K/yr

... into clear data science and advanced analytics models and solutions that can and will be adopted and implemented * Ability to effectively lead projects from conception to conclusion, both ...

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... You will lead analytic client engagements involving descriptive, predictive, and prescriptive ...

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... You will lead analytic client engagements involving descriptive, predictive, and prescriptive ...

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... You will lead analytic client engagements involving descriptive, predictive, and prescriptive ...

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... You will lead analytic client engagements involving descriptive, predictive, and prescriptive ...

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

... of Data Science & Analytics. The Financial Services Analytics team is an industry recognized ... You will lead analytic client engagements involving descriptive, predictive, and prescriptive ...

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Lead Data Scientist information

See Schaumburg, IL salary details

$45.4K

$162.8K

$240.3K

How much do lead data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for lead data scientist in Schaumburg, IL is $162,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Lead Data Scientist, and why are they important?

To thrive as a Lead Data Scientist, you need advanced expertise in statistics, machine learning, data modeling, and strong programming skills (often in Python or R), typically supported by an advanced degree in a quantitative field. Familiarity with big data platforms (such as Hadoop or Spark), cloud computing tools, and experience with data visualization and version control systems are commonly required. Outstanding leadership, communication, and project management abilities help distinguish top performers in this role. These skills are crucial for designing impactful data solutions, guiding teams, and effectively translating complex analyses into actionable business strategies.

How does a Lead Data Scientist typically balance hands-on technical work with team leadership responsibilities?

A Lead Data Scientist often splits their time between developing advanced data models and guiding team members through project execution. While they remain deeply involved in coding, data exploration, and validation, they also mentor junior staff, oversee project timelines, and ensure alignment with business goals. Balancing these tasks requires strong organizational skills, the ability to delegate, and regular communication with both technical teams and non-technical stakeholders. This dual focus not only drives project success but also supports the professional development of the entire data science team.

What are Lead Data Scientists?

Lead Data Scientists are experienced professionals who oversee data science teams and projects within an organization. They are responsible for designing and implementing advanced analytics models, managing data pipelines, and turning data insights into actionable business strategies. In addition to their technical expertise, Lead Data Scientists collaborate with stakeholders, mentor junior data scientists, and ensure that data-driven solutions align with business goals. Their role often bridges the gap between data science and business decision-making, making them key contributors to an organization's success.
What are popular job titles related to Lead Data Scientist jobs in Schaumburg, IL? For Lead Data Scientist jobs in Schaumburg, IL, the most frequently searched job titles are:
What cities near Schaumburg, IL are hiring for Lead Data Scientist jobs? Cities near Schaumburg, IL with the most Lead Data Scientist job openings:
Infographic showing various Lead Data Scientist job openings in Schaumburg, IL as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Nights. Highlights an 39% Physical, 58% Hybrid, and 3% Remote job distribution, with an average salary of $162,848 per year, or $78.3 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Job description

Established in 2021,Independence Pet Holdingsis a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America.

We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands.

Job Summary:

IDEA (IPH Data & Enterprise Analytics) is IPH's enterprise data organization responsible for building and operating the data platform, governance framework, and analytics capabilities that power decision-making across all brands. The team brings together experienced data leaders and engineers from across IPH and beyond to create a unified, enterprise-scale data function. Organized around four core pillars-Data Strategy & Planning, Infrastructure & Data Engineering, Enterprise Data Governance, and Analytics & Reporting-IDEA partners with teams across the organization to architect, manage, and activate data & analytics so every IPH team can make faster, smarter, and more informed decisions.

As a result, we are looking for a Lead Data Scientist to join the organization.

The Lead Data Scientist will lead the development and application of advanced data science and analytical solutions to drive pricing, risk, customer, and operational insights across IPH's pet insurance portfolio. While the role is focused on pet insurance, we value candidates with experience in e-commerce, subscription businesses, or other consumer-facing industries who can bring diverse analytical approaches-such as LTV modeling, segmentation, A/B testing, and paid media analytics-to help innovate and optimize the business. Beyond model development, this role will frame complex business problems, translate analytical findings into clear and actionable insights, and partner closely with stakeholders across product, marketing, actuarial, and operations to drive data-informed decisions. Reporting to the Head of Analytics, the Lead Data Scientist will help shape the data science roadmap, champion best practices in experimentation and modeling, and contribute to building a strong analytical culture across IPH.

Job Location:

  • Hybrid - Chicago, Cleveland, Scottsdale/Phoenix, New York City

Main Responsibilities:

  • Develop predictive and prescriptive models to support pricing, risk, customer, and operational decision-making across the pet insurance portfolio
  • Apply advanced statistical and machine learning techniques to a variety of business problems, including customer behavior, retention, and marketing performance
  • Mentor other data scientists and analytics talent as needed, and develop data science rigor and expertise across the organization
  • Partner with actuarial, product, and analytics teams to set data science goals and objectives and translate business questions into analytical solutions
  • Collaborate with engineering and analytics teams to deploy models into production and ensure scalable, maintainable solutions
  • Communicate insights and recommendations to technical and non-technical audiences, leveraging learnings from insurance and other consumer-facing industries

Qualifications:

  • 6+ years of professional data science or advanced analytics experience with a BS/MS, or 4+ years of experience with a PhD in a quantitative field
  • Strong Python and SQL expertise
  • Experience with large-scale datasets, structured and unstructured
  • Familiarity with analytics engineering concepts or hands-on experience is a plus

Preferred Qualifications:

  • Pricing, underwriting, or risk modeling experience
  • Experience in insurance or regulated industries
  • Experience with cloud-based platforms (Databricks, Snowflake, or similar) and notebook-based workflows
  • Experience with dbt (data build tool) or related data transformation approaches
  • Exposure to concepts common in P&C, ecommerce, subscription, or marketing analytics (LTV, segmentation, A/B testing, etc)

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:

  • Comprehensive full medical, dental and vision Insurance

  • Basic Life Insurance at no cost to the employee

  • Company paid short-term and long-term disability

  • 12 weeks of 100% paid Parental Leave

  • Health Savings Account (HSA)

  • Flexible Spending Accounts (FSA)

  • Retirement savings plan

  • Personal Paid Time Off

  • Paid holidays and company-wide Wellness Day off

  • Paid time off to volunteer at nonprofit organizations

  • Pet friendly office environment

  • Commuter Benefits

  • Group Pet Insurance

  • On the job training and skills development

  • Employee Assistance Program (EAP)

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