Job Description

ESSENTIAL JOB FUNCTIONS

• Collaborate with internal partners to build realistic optimization models by translating real-world requirements into model constraints

• Bridge the gap between real world business operations and models by designing decision systems that optimize for sequences through time

• Implement optimization models by selecting and tuning algorithmic approaches utilizing technical tools like solvers, machine learning, reinforcement learning

• Design and conduct experiments (e.g. A/B testing) to validate hypotheses and measure outcomes

• Present complex findings in a clear, actionable way through visualizations, dashboards, interactive applications, or technical reports

• Partner with engineering platform teams to deploy and maintain production-ready pipelines and services for optimization models & algorithms

• Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques

• Stay current on emerging methods, tools, and technologies in data science
• Other duties as assigned

OTHER SKILLS & ABILITIES

• Strong programming skills; familiarity with Julia, Python, or similar languages preferred

• Experience selecting and utilizing open source and commercial solvers

• Familiarity with deploying and maintaining models in production

Preferred Skills:

• Proficient in developing Linear Programming (LP) and Mixed-Integer Programming (MIP) models using optimization frameworks such as CPLEX, Gurobi, OR-Tools, PuLP, and Pyomo
• Prior experience making or publishing analytical web apps (e.g. Shiny, Streamlit)
• Proficiency with machine learning libraries and frameworks (scikit-learn, TensorFlow, PyTorch)
• Advanced knowledge of statistics, experimental design, and predictive modeling
• Skilled in SQL and comfortable working with large datasets
• Comfortable with BI tools and integrating data science outputs into business processes

EDUCATION & EXPERIENCE

• Bachelor's degree in computer science, Applied Math, Industrial Engineering, Operations Research, or a related field
• 3–5+ years of experience in data science, advanced analytics, or a related role
• Demonstrated experience delivering end-to-end machine learning, optimization, or forecasting solutions

PROFESSIONAL CERTIFICATION(S)

None

PHYSICAL REQUIREMENTS

• Job requires the ability to use vision, adjust focus and work on a standard computer screen.

• Job may require extended sitting or standing, use of standard office equipment.
• Job will require presence on-site at the assigned work location.

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:

• 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

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.