# Lead Data Scientist (P4296)

**Company**: 84.51°
**Location**: Cincinnati, OH
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $125,000-$207,000 USD
**Category**: Data Science
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q114757332

**Apply**: https://job-boards.greenhouse.io/8451/jobs/8924525002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/lead-data-scientist-p4296-069e35ab-82e/

## Description

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.

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## Skills

### Required
- Python
- Object Oriented Programming
- Test Driven Development
- SQL
- PySpark
- Azure
- Hadoop
- Databricks
- kubernetes
- Gurobi
- IPOPT
- HiGHs

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/8451/jobs/8924525002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)
