Data Science & Optimization Manager

. Crane Worldwide Logistics . • Houston, TX

1d

About The Position

At Crane you'll join a fast-growing data organization at a global company operating at the intersection of logistics, optimization, and algorithmic decision[1]making. We're a 3rd-party logistics provider generating massive volumes of data across every category and latency, and need a leader to drive our investment in building the quantitative foundations to manage our core business algorithmically. You will lead a team of data scientists and analysts, owning both the people and the technical direction of data science & optimization at Crane. You'll manage a team of data scientists, set technical standards, and partner closely with business stakeholders to make sure our optimization and forecasting projects are solving the right problems the right way. Your team's work will span pricing, finance, and marketing and growth, with a heavy focus on Operations Research-style optimization. This team is focused on higher level business goals and more consistent business impact than simple truck routing or churn prediction problems.

Requirements

• High School Diploma/GED Certificate
• Track record of successfully delivering mathematical optimization/operations research/industrial engineering projects
• Experience managing and building practical business forecasting projects
• Strong statistical fundamentals
• Technical degree in Industrial Engineering, Mathematics, Operations Research, or similar
• Experience with Python, Julia, R or similar programming languages in a team development context

Nice To Haves

• Experience solving problems in logistics
• Comfortable with software engineering fundamentals
• Experience deploying managing solutions as applications and endpoints

Responsibilities

• Team leadership and stakeholder partnership You'll work directly with business stakeholders to understand problems, shape measurement and experimental design approaches, and align data science projects with business goals
• You'll collaborate with other technical functions (Data Engineering, BI Engineering, etc.)
• You'll ensure that the team follows a well-structured planning process, keeping priorities transparent and execution focused
• Technical oversight You'll set the standard for how the team works: code reviews, version control discipline, automation, and pragmatic choices about tooling and approaches
• You'll bring common sense to the technical project lifecycle and modeling choices, always favoring simplicity and reliability
• You'll guide the team across optimization, experimentation, statistical analysis, forecasting, and ML projects and drive the appropriate level of rigor & care
• Strategy You'll partner with engineering and business leadership to shape our vision for an algorithmic logistics business
• You'll connect technical direction (modeling approaches, architecture, and technology selection) to our strategy over multi-year planning horizons
• Other duties as assigned

Benefits

• Quarterly Incentive Plan
• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
• Excellent Medical, Dental and Vision benefits
• Tuition Reimbursement for education related to your job
• Employee Referral Bonuses
• Employee Recognition and Rewards Program
• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
• Employee Discounts
• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: High school or GED
• Number of Employees: 501-1,000 employees