Principal Data Scientist

Forsyth Barnes; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

An established industry player in the retail sector is seeking a Principal Data Scientist to spearhead data science initiatives within their Supply Chain Organization. This role offers the opportunity to lead a team of junior data scientists while driving end-to-end model development and aligning stakeholders around impactful data solutions. The ideal candidate will have a strong background in optimization and predictive modeling, with a focus on enhancing supply chain processes. If you are a hands-on leader with a passion for data-driven decision-making, this is your chance to make a significant impact in a dynamic environment.

Qualifications

• Experience in retail, manufacturing, or travel sectors is preferred.
• Strong background in operational research and supply chain planning.

Responsibilities

• Lead and mentor junior data scientists across multiple projects.
• Develop and deploy predictive models and optimization algorithms.

Skills

Optimization

Predictive Modeling

Operational Research

Stakeholder Engagement

Data Science Leadership

Education

Degree in Operational Research or related field

Tools

Python

Azure

Job description

Position: Principal Data Scientist
Contract Length: 9 Months
Pay: Dependant on experience
Location: Remote
Industry: Retail - Supply Chain Organization

Overview

We are partnering with a leading Retailer in the retail - grocery sector to hire a Principal Data Scientist within their Supply Chain Organization for a 9-month contract. This is a senior-level role for a hands-on data leader with a track record in optimization, predictive modeling, and operational research, particularly within the retail or adjacent industries like manufacturing or travel.

You will lead data science initiatives, drive end-to-end model development, and align teams and stakeholders around scalable, business-focused data solutions.

Key Responsibilities for a Principal Data Scientist

1. Lead, mentor, and coordinate junior data scientists across multiple projects.
2. Engage and align with cross-functional stakeholders to ensure business needs are accurately translated into data solutions.
3. Develop and deploy predictive models and optimization algorithms from concept through to production.
4. Focus on accuracy and performance enhancements of models in live environments.
5. Drive innovation within supply chain optimization and network planning.

Principal Data Scientist Qualification Requirements:

1. Industry Background: Strong preference for candidates with experience in retail, manufacturing, or travel sectors.
2. Optimization Expertise: Educational and practical experience in operational research, supply chain planning, or network design.
3. Stakeholder-Facing: Strong business acumen and ability to present insights and strategies clearly to both technical and non-technical audiences.
4. Tech Stack:
   • Python for modeling and data science
   • Azure for cloud-based data storage, computing, and deployment