Stord is the leading commerce enablement provider of fulfillment services and technology that powers seamless checkout and delivery experiences for high-volume mid-market and enterprise brands across all channels. Stord manages over $5 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. With Stord, brands can sell more, save money, and reduce headaches.

With Stord, brands can increase cart conversion, improve unit economics, and drive customer loyalty. 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.

Hundreds of leading DTC and B2B companies like AG1, Native, Tula, American Giant, and more trust Stord to make their supply chains a competitive advantage. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, and Salesforce Ventures.

As a Data Scientist at Stord, you'll dive into exciting challenges like demand forecasting and pricing analytics, while also shaping our key performance indicators and streamlining workflows. You'll have the chance to prototype innovative internal and external tools, build robust data pipelines, and prepare data for insightful analysis. Joining our collaborative and impactful small team, you'll play a vital role in making Stord an even more data-driven powerhouse!

What You'll Do:

• Collaborate closely with product managers and engineers to enable demand planning models for a high-impact, go-to-market product.

• Engage with business stakeholders to understand their requirements and implement solutions, ranging from process improvements to new internal tools.

• Identify opportunities to implement new forecasting models to increase the operational efficiency of our warehouse and shipping partners.

• Set up data pipelines to seamlessly ingest data and transform it into a usable format for analysis.

• Create dashboards that vividly demonstrate adoption, ROI, and progress toward our organizational objectives.

• Deliver crucial business insights to assist with data-driven decisions and present findings clearly to both technical and non-technical audiences.

What You'll Need:

• Bachelor’s Degree in a quantitative field such as Industrial & Systems Engineering, Business, Supply Chain, Statistics, Decisions Sciences, Finance & Accounting, or Computer Science.

• 3+ years of experience as a Data Scientist, Data Analyst, or in a similar role, ideally with a background in Supply Chain or Logistics.

• A strong understanding of machine learning models and experience building data pipelines.

• Proficiency in SQL and Python, solid Excel skills, and experience with at least one cloud development platform (AWS, GCP, Azure).

• Proven ability to thrive in a fast-paced environment and collaborate effectively with engineers and product managers.

• A proactive, team-oriented mindset with a can-do attitude.