Staff Data Scientist (operations Research) - Remote Eligible

Staff Data Scientist (Operations Research)

Reports To: Vice President of Data Science

Location: Chicago, IL

Environment: Remote

Status: Exempt

Who We Are

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.

Purpose of Your Work

As a Staff Data Scientist working within Managed 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 operations research to build various models and simulations, delivering results and communicating actionable insights.

How You Make a Difference Everyday

• Develop and implement models and simulations that leverage operations research, statistics, and machine learning technologies without our managed services group, 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 and variance in outcomes
• 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

You've Got This?

• MS or PhD in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Physics, or equivalent work experience
• 5+ years of experience applying optimization and machine learning to solve business problems in supply chain, logistics, transportation, or a similar space
• Knowledge of operations research concepts, including mixed-integer programming (MIP), network optimization, and simulation
• Proficient in leveraging Azure or AWS to deploy scalable machine learning algorithms into production
• Strong Python and SQL skills
• Ability to communicate with technical and non-technical stakeholders

What We Offer

• 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 a annual company contribution for plan participants
• Short-term and long-term disability; life insurance policies subsidized by company
• Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule

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

Compensation Range

Salary Range:

$140,000 - $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 will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

Redwood is an equal opportunity employer. Employment decisions at the company are based on individual merit, qualifications, abilities, and the company's needs and resources. The company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual's actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.