Data Scientist

Job Summary
:
Crane Worldwide Logistics LLC is a leader in logistics, seeking a Data Scientist to collaborate with internal partners on high-impact analytics opportunities. The role involves developing machine learning models, conducting experiments, and presenting findings to optimize business processes.

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

• 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

• Stay current on emerging methods, tools, and technologies in data science

• Other duties as assigned

Qualifications
:
Required
:

• 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

• Stay current on emerging methods, tools, and technologies in data science

• 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, Tensor Flow, 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

• 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

• Bachelor’s degree in Computer Science, Statistics, Applied Math, Data Science, or a related field

• 2–5+ 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 may be required in this position.

Preferred
:

• Relevant certifications (e.g., CPP, PSP, TAPA) preferred.

Company
:
Crane Worldwide Logistics is a supply chain company that provides individual solutions to address its client's logistics challenges. Founded in 2008, the company is headquartered in Houston, USA, with a team of  employees. The company is currently Late Stage.