Bachelor's degree in computer science, mathematics, statistics, data science, or related field.
4+ years of experience with advanced algorithms and programming for technical analytics solutions.
Proficient in Python, with strong knowledge of data structures and Object Oriented Programming.
Experience in deploying data science solutions to production, including CI/CD and orchestration techniques.
Hands-on experience with optimization problems and data analysis using SQL and PySpark.
Familiarity with open-source and commercial solvers like Gurobi and IPOPT.
Experience with cloud technologies such as Azure and Databricks.
Responsibilities
Co-lead the development of core optimization capabilities and analytical plans.
Execute development work using best practices in coding and optimization.
Add features to enhance business coverage and improve process efficiency.
Refactor code to ensure production stability and adherence to best practices.
Analyze production code to identify and resolve bugs or bottlenecks.
Collaborate with cross-functional teams to translate business needs into analytical solutions.
Mentor junior team members in complex problem-solving and optimization techniques.
Benefits
Comprehensive health plans including medical, dental, and vision coverage.
401(k) plan with Roth option and matching contributions.
Generous paid time off including 5 weeks of vacation and 7 wellness days.
Paid leave for maternity, paternity, and family care.
Health Savings Account with matching contributions.
Full Job Description
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
About 84.51
84.51° is a wholly owned subsidiary of The Kroger Co. and is based in Cincinnati, Ohio. The company was founded in 2015 and provides data analytics and customer insights to Kroger and other consumer-packaged goods companies. The name 84.51° refers to the longitude of the company's headquarters in Cincinnati.
