Data Scientist

About the role

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.

Responsibilities

• 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
• 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

Requirements

• 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

Qualifications

• 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

Skills

• 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

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
Come join the leader in logistics and take your career in the right direction.

Why 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.

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

Company Benefits

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