General Description
At Crane youll join a fast-growing data organization at a global company operating at the intersection of logistics, optimization, and algorithmic decision[1]making. Were 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. Youll 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 teams 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.
Essential Job Functions
Team leadership and stakeholder partnership
Youll work directly with business stakeholders to understand problems, shape measurement and experimental design approaches, and align data science projects with business goals
Youll collaborate with other technical functions (Data Engineering, BI Engineering, etc.)
Youll ensure that the team follows a well-structured planning process, keeping priorities transparent and execution focused
Technical oversight
Youll set the standard for how the team works: code reviews, version control discipline, automation, and pragmatic choices about tooling and approaches
Youll bring common sense to the technical project lifecycle and modeling choices, always favoring simplicity and reliability
Youll guide the team across optimization, experimentation, statistical analysis, forecasting, and ML projects and drive the appropriate level of rigor & care
Strategy
Youll partner with engineering and business leadership to shape our vision for an algorithmic logistics business
Youll connect technical direction (modeling approaches, architecture, and technology selection) to our strategy over multi-year planning horizons
Other duties as assigned
Physical Requirements
Education & Experience
Required:
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
Ideal:
Experience solving problems in logistics
Comfortable with software engineering fundamentals
Experience deploying managing solutions as applications and endpoints
CERTIFICATIONS AND LICENSES
WHY SHOULD YOU WORK FOR CRANE?
At Crane, we believe in providing our employees with excellent benefits at a Great Place to Work.
We offer:
Come join the leader in logistics and take your career in the right direction.
Disclaimer:
The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
We maintain a drug-free workplace and perform pre-employment substance abuse testing.
This position requires the final candidate to successfully pass an E-Verify Check.
More Information: http://www.dhs.gov/e-verify
Company benefits are contingent upon meeting eligibility requirements and plan conditions.