Lead Data Scientist; Pricing

Current job opportunities are posted here as they become available.

Reports To:

Vice President of Data Science

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

As a Lead Data Scientist (Pricing) working within Shared Services (one of our entities), you will be responsible for developing tech-forward solutions to drive automation and informed decision-making within our business. You will delve into unique and complex issues within the logistics space and partner with cross‑functional teams across business, technology, and product to ideate, develop, recommend, and implement solutions. You will leverage your skill set in statistics, machine learning, and MLOps to build various models and infrastructure, delivering results and communicating actionable insights.

• Develop and implement pricing models and simulations that leverage statistics, data science, and machine learning technologies without our business that impact metrics, and streamline network operations.
• Identify new opportunities to drive business impact through data exploration and collaboration with key stakeholders.
• Conduct a root cause analysis to identify the key drivers influencing operational performance associated with our buying patterns.
• Collaborate with cross‑functional teams, including software engineers, data scientists, business stakeholders, and product teams, to gather inputs, assumptions, and understand business processes along the way.

• MS or PhD in Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience.
• 6+ years of experience applying Machine Learning and data science solutions to solve business problems.
• Experience solving pricing problems in multi‑side marketplaces.
• Experience with Data Science and/or Machine Learning in supply chain, logistics, transportation, or a similar space is a plus.
• Experience managing a small team of Data Scientist.
• Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production.
• Hands‑on experience with open‑source languages and tooling for large‑scale ML (e.g., Ray, Flink, Feast).
• Experience working with Data Warehouses and ETL pipelines (e.g., Redshift, Databricks, Snowflake, Airflow).
• Strong Python and SQL skills.
• Ability to communicate with technical and non‑technical stakeholders is a plus.

• Access to experts and resources for your Learning & Development journey
• Opportunity for internal mobility
• Employee referral bonus program
• Employee Resource Groups (ERGs)
• Annual fundraising and volunteer events to give back to communities
• Paid time off, floating holidays, time off to volunteer, and rollover
• Paid parental leave
• Medical, dental, vision, and 401k plans (with match)
• Flexible spending account, mass transit, and dependent care plans available
• Health savings account, with an annual company contribution for plan participants
• Short‑term and long‑term disability, life insurance policies subsidized by the company
• Additional benefits include pet insurance, accident care, access to legal advice, and more

This position is full‑time and remote, Monday through Friday, from 8:00 AM to 5:00 PM, with an hour break. However, flexibility is available based on coverage needs.

Salary Range:

$170,000 - $220,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered…