À propos
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, 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 • 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 clients logistics challenges. Founded in 2008, the company is headquartered in Houston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
Compétences linguistiques
- English
Avis aux utilisateurs
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