Stord

Test & Analytics Engineer

HQ - Atlanta, GA

H1B sponsorship availableDetected 13 days ago

PythonSQLData VisualizationStatisticsA/B TestingSalesforceLogisticsExperimental DesignLeadershipCollaboration

About the role

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands.
Stord is rapidly growing and is on track to double our revenue in the next 18 months.
Stord's end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.

Experiment Design & Governance
Rapidly discontinue experiments that do not demonstrate measurable operational improvement to maintain agility and resource efficiency
Design, execute, and analyze multi-pass picking workflows versus traditional single-pass picking to evaluate productivity, travel distance, and throughput impacts
Partner directly with warehouse associates executing fulfillment operations to ensure test conditions accurately reflect real-world constraints and behaviors
Work closely with warehouse associates performing day-to-day fulfillment activities to ensure experimental design aligns with operational reality
Incorporate field feedback into test design, execution refinement, and interpretation of results
This role is not eligible for visa sponsorship or employment-based immigration support.
Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.
With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty.
Your work will directly influence fulfillment performance, automation adoption, and network design at scale.

5+ years of experience in advanced analytics, process engineering, testing strategy, or operations analytics within high-volume logistics or 3PL environments
Strong expertise in statistical analysis and A/B testing methodologies, with ability to derive statistically significant and scalable conclusions from operational data
Proficiency in data visualization tools such as Tableau or Power BI
Programming experience in Python or R for data manipulation, scripting, and statistical analysis
Experience conducting time-and-motion studies or process mapping in warehouse or manufacturing environments
Experience working with digital twin or simulation models to evaluate slotting logic and warehouse workflows at scale

Experience partnering with product and operations leadership to transition experimental learnings into live production pilots and scaled deployments
Bachelor's degree in a highly quantitative field
Master's degree preferred

Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms.

Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order.

To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.

Note: This role is not eligible for visa sponsorship or employment-based immigration support.

This listing is sourced directly from Stord's careers page and normalized into a canonical job model.