Partner directly with executive and operational leadership in a data domain to answer valuable questions and drive strategic decisions. Leverage advanced analytics, machine learning, and statistical modeling to generate insights, forecast outcomes, and deliver scalable solutions. This role will be an innovator and problem solver within the Enterprise Analytics team, working closely with stakeholders to expand organizational understanding and unlock value from data.

Essential Job Functions

Collaborate with internal partners to identify high-impact opportunities for predictive and prescriptive analytics
Develop, test, and deploy machine learning models to support decision making and optimize business processes
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
Create and maintain production-ready pipelines for data science models
Partner with the Business Intelligence and Data Engineering teams to improve data quality, define key metrics, and develop reusable data assets
Mentor analysts and other self-service data consumers in advanced statistical and machine learning techniques
Detect anomalies, forecast key business trends, and provide proactive recommendations

Other Skills & Abilities

Strong programming skills in Python or R; familiarity with Julia or similar languages is a plus
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
Familiarity with deploying and maintaining models in production
Comfortable with BI tools and integrating data science outputs into business processes

Education & Experience

Bachelor’s degree in computer science, statistics, applied math, data science, or a related field
3-7 years of experience in data science, advanced analytics, or a related role
Demonstrated experience delivering end-to-end machine learning, optimization, or forecasting solutions

Physical Requirements

Talking, hearing and using hands to operate a computer keyboard, mouse and other computer components
Sitting for extended periods of time
Vision abilities required by this job include close vision and the ability to adjust focus

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.

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