Pay
In line with similar jobs
$125K–$207K against $118K–$195K, the middle half of what similar US postings state.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Lead Data Scientist (P4296)
Cincinnati, OH; Chicago, IL
Actively hiring, first seen by us 1 hour ago- Pay
USD 125,000–207,000/year · BaseAnnual period assumed — pay source
Base Pay Range $125,000—$207,000 USD
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 3 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingImplement ways to leverage coding agents that balances speed of development with responsible/sustainable ownership of code by data scientists and engineers.
Analyze production code runs to address bugs or bottlenecks in a timely manner.
Collaborate with cross-functional teams to translate business needs into analytical problems and deliver optimization solutions.
From the employer’s posting
Refactor code for Object Oriented Programming best practices and production stability. Implement ways to leverage coding agents that balances speed of development with responsible/sustainable ownership of code by data scientists and engineers. Analyze production code runs to address bugs or bottlenecks in a timely manner.
Implement ways to leverage coding agents that balances speed of development with responsible/sustainable ownership of code by data scientists and engineers. Analyze production code runs to address bugs or bottlenecks in a timely manner. Collaborate with cross-functional teams to translate business needs into analytical problems and deliver optimization solutions.
Analyze production code runs to address bugs or bottlenecks in a timely manner. Collaborate with cross-functional teams to translate business needs into analytical problems and deliver optimization solutions. Develop novel numerical techniques to improve computational efficiency.
Education & alternatives
Qualifications, Skills, and Experience: - Bachelor's degree in computer science, mathematics, statistics, data science or related discipline - 4+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 60.
At 84.51°, jobs usually come down by about day 40.
From 11,733 similar postings that came down, and 11 of 84.51°’s. Coming down is not always a hire.
84.51° is hiring
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Databricks
- Hadoop
- Kubernetes
- PySpark
Where the posting names them
- 4+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities. - Experience using Python to develop analytical solutions.This is a heavy developer role. - Excellent understanding of Python data structures
- Experience using Python to develop analytical solutions.This is a heavy developer role. - Excellent understanding of Python data structures - Test Driven Development
- Experience in open-source and commercial solvers (Gurobi, IPOPT, HiGHs, etc.) - Hands-on experience coding in SQL and PySpark. - Hands-on experience with technologies such as Azure, Hadoop, Databricks, kubernetes, etc. to create computationally efficient solutions
- Hands-on experience coding in SQL and PySpark. - Hands-on experience with technologies such as Azure, Hadoop, Databricks, kubernetes, etc. to create computationally efficient solutions - Strong interpersonal and communication skills.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
84.51° Overview:
84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.
Join us at 84.51°!
__________________________________________________________
Lead Data Scientist, Tech Track (P4296)
Summary:
The SCORe (Supply Chain, Operations, and Replenishment) team is seeking an experienced lead data scientist to act as co-lead developer on one of our core capabilities. This role will be responsible for evolving cutting-edge optimization models and algorithms aimed at improving end to end supply chain operations, with an emphasis on transportation planning. The ideal candidate will have a strong background in development, optimization, and the supply chain domain. Familiarity with 84.51° and Kroger’s data assets would be preferred.
Responsibilities:
- Co-lead the evolution of core optimization science capability including:
- Development of near and long-term analytical plans
- Independently execute work following best-in-class development patterns
- Adding new features for expanded business coverage
- Methods to scale or improve process time of solution
- Refactor code for Object Oriented Programming best practices and production stability.
- Implement ways to leverage coding agents that balances speed of development with responsible/sustainable ownership of code by data scientists and engineers.
- Analyze production code runs to address bugs or bottlenecks in a timely manner.
- Collaborate with cross-functional teams to translate business needs into analytical problems and deliver optimization solutions.
- Develop novel numerical techniques to improve computational efficiency.
- Research upgrades or simplifications to optimization algorithms and develop MVP code.
- Mentor junior team members and guide them through complex problem-solving.
- Collaborate closely on applied customer science initiatives and with other Research Scientists, Data Scientists, Machine Learning Engineers, and contributors across the business.
Qualifications, Skills, and Experience:
- Bachelor's degree in computer science, mathematics, statistics, data science or related discipline
- 4+ years of experience using advanced algorithms, programming languages, or technologies in the development of technical analytics solutions or capabilities.
- Experience using Python to develop analytical solutions.This is a heavy developer role.
- Excellent understanding of Python data structures
- Test Driven Development
- Object Oriented Programming
- Experience guiding data science solutions to production and managing forward:
- CI/CD
- Package version management
- Orchestration
- Parallelization techniques
- Experience with solving large-scale optimization problems.
- Experience in performing data analysis, cleaning, and orchestration to enable optimization sciences.
- Experience in open-source and commercial solvers (Gurobi, IPOPT, HiGHs, etc.)
- Hands-on experience coding in SQL and PySpark.
- Hands-on experience with technologies such as Azure, Hadoop, Databricks, kubernetes, etc. to create computationally efficient solutions
- Strong interpersonal and communication skills.
- Strong analytical, creative problem-solving and decision-making skills
- Ability to work in a highly collaborative environment.
#LI-SSS
Pay Transparency and Benefits
- The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
- Below is a list of some of the benefits we offer our associates:
- Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
- Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
- Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Base Pay Range
$125,000—$207,000 USD
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base Pay Range $125,000—$207,000 USD
- Location & working pattern
Cincinnati, OH; Chicago, IL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.