Lead Data Scientist (P4296)

Chicago, ILfull timeOn Site

senior

$125k–$207k

H1B: no

8451 Lead Data Scientist at 84.51° co-leads development of optimization models to improve supply chain operations, focusing on transportation planning. The role involves developing analytical plans, improving algorithms, and mentoring junior team members.

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.

Qualification

Bachelor's degree in computer scienceTest Driven DevelopmentObject Oriented ProgrammingPackage version managementParallelization techniquesExperience in performing data analysisFamiliarity with 84

Required

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:
Package version management
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.)