Lead Data Scientist
Company websitechamberlain.com (Chamberlain Group, opens in new tab)
Base salary $102,600 to $193,425
Employer-published annual base salary, USD. Advertised base range in Oak Brook, IL
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationOak Brook, IL
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (19 min ago) · observed since
About this job
Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily.

This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group’s business objectives. You will transform these priority opportunities into incremental business value through the design, development, and deployment of solutions using statistical and machine learning methods to provide insight that support Chamberlain Group’s transformation and rapid growth. This high visibility role works directly with senior leaders and has a tangible impact on the business.
Essential Duties and Responsibilities
Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals.
Identify and apply best analytical techniques to achieve business objectives.
Design, develop, and deploy advanced analytics solutions, including predictive and prescriptive outputs, insights, and visualizations to enable business users to make better data-driven decisions.
Execute analytic activities supporting solution development, including data gathering, cleansing, and integration, statistical transformation and modeling, and feature engineering and selection.
Develop deep understanding of internal and external data.
Create appropriate standards and processes to ensure quality and consistency of Decision Intelligence Group solutions.
Direct activities of associate/senior data scientists, third-party contractors, and consultants for specific business projects.
Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams.
Protect Chamberlain Group’s reputation by keeping information confidential.
Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.
Contribute to the team effort by accomplishing related results and participating on projects as needed.
Minimum Qualifications
Education/Certifications:
Master’s degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
5+ years of relevant work experience
Knowledge, Skills, and Abilities:
Expert knowledge of statistics and machine learning methods, including regression, classification, time series analysis, clustering, simulation, dimension reduction
Demonstrated aptitude distilling complex business problems 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 independently and in a team environment (including working with both internal and external business partners)
Expertise developing and applying machine learning algorithms
Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights
Proficient in Python, R, SQL
Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure)
Proven track record of leading projects and cross-functional teams
Strong problem-solving and analytical thinking skills
Preferred Qualifications
Education/Certifications:
Doctorate in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study
Experience:
Experience working with Agile methodologies
Experience using data visualization tools (e.g., Power BI)
Experience with IOT, software-defined customer experiences, private equity backed companies
#LI-JM2
#LI-Hybrid

The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies.

Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome.
Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence [email protected].
NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.
Source: Chamberlain Group on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($102,600) is above 8% of the 97 Data & ML roles in Illinois listed on this site; 3 others list the same floor. Their median floor is $135,000; the middle half runs from $114,700 to $160,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingLead Data Scientist$102,600 to $193,425
Manager, Sales Incentives & Coverage$102,600 to $165,375
Market Intelligence Manager$102,600 to $165,375
Manager, Enterprise Integrations$102,600 to $193,425
Lead PLM Business Systems Analyst$102,600 to $193,425
Lead, Data and Deployment Operations$102,600 to $165,375
Software Manager, Middleware (Hybrid)$102,600 to $193,425
Chart as a table
| Role | Published base |
|---|---|
| Lead Data Scientist (this listing) | $102,600 - $193,425 |
| Manager, Sales Incentives & Coverage | $102,600 - $165,375 |
| Market Intelligence Manager | $102,600 - $165,375 |
| Manager, Enterprise Integrations | $102,600 - $193,425 |
| Lead PLM Business Systems Analyst | $102,600 - $193,425 |
| Lead, Data and Deployment Operations | $102,600 - $165,375 |
| Software Manager, Middleware (Hybrid) | $102,600 - $193,425 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-09-03
Where this pay comes from
Location as the employer wrote it: Oak Brook, IL
The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
