Lead Data Scientist (P4296)

The SCORe (Supply Chain, Operations, and Replenishment) team at 84.51° 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.

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
• Add new features for expanded business coverage
• Develop 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 balance 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
• Excellent understanding of Python data structures
• Test Driven Development
• Object Oriented Programming
• Experience guiding data science solutions to production and managing forward
• 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.

Benefits:

• 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.