Stord
SaaS • Transport • eCommerce
Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.
1001 - 5000 employees
Founded 2015
☁️ SaaS
🚗 Transport
🛍️ eCommerce
Data Scientist
Job not on LinkedIn
November 19
Stord
SaaS • Transport • eCommerce
Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.
1001 - 5000 employees
Founded 2015
☁️ SaaS
🚗 Transport
🛍️ eCommerce
📋 Description
• Design, develop, and implement ML algorithms and statistical models to enhance our platform and optimize key operational metrics. • Collect, clean, and analyze large datasets to identify patterns, trends, and insights that inform strategic decisions. • Build and maintain scalable data pipelines for preprocessing, feature engineering, model training, and deployment. • Collaborate with Engineering and SRE to ensure reproducibility, scalability, and reliability of your models. • Work closely with cross-functional teams to integrate ML solutions into our platform and drive adoption. • Communicate complex technical information to non-technical audiences, effectively presenting findings and recommendations. • Stay abreast of the latest advancements in ML technologies and continuously improve model performance.
🎯 Requirements
• A strong background in Machine Learning, Computer Science, Data Science, Statistics, or a related field. • 5+ years of experience as an ML Engineer, Data Scientist, or similar role, with a focus on AI/ML applications. • Advanced programming skills in Python and experience with ML frameworks like TensorFlow or PyTorch. • Proficiency in data manipulation and analysis using libraries like Pandas and NumPy. • Strong understanding of statistical analysis, machine learning algorithms, and data mining techniques. • Excellent communication skills and the ability to collaborate effectively in a fast-paced environment.
🏖️ Benefits
• Health insurance • Professional development opportunities
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