Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Stord
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. 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.
By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. 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. 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. 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, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. 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, Strike Capital, Baillie Gifford, and Salesforce Ventures.
The Opportunity
Stord is the commerce enablement platform that powers $10B+ in commerce annually for some of the world's leading brands. We sit at the intersection of physical operations and software - running fulfillment centers, parcel networks, and the technology stack that ties it all together.
Few companies have data like this. On the consumer side, we see the full pre and post-purchase journey: browse and cart behavior, order placement, fulfillment events, delivery outcomes, returns, and repurchase. Inside the warehouse, we capture every pick, pack, and
ship event across our fulfillment network - throughput, accuracy, labour efficiency, exception rates. Across our parcel network, we see carrier performance, delivery prediction, SLA adherence, and cost at the shipment level. This is not a single domain dataset. It is the full commerce stack, end to end.
Decision Science is the function that turns that signal into competitive advantage. The modeling opportunities here are genuinely rich: delivery prediction, carrier routing optimization, demand and volume forecasting, brand-level churn and performance analytics, exception management, personalization. The opportunity is to build a function that develops models the business trusts, adopts, and acts on - and that makes Stord smarter with every order we process.
This is the first dedicated Decision Science leadership role at Stord. You will shape the function from the ground up, reporting to the VP of Data, and working in close partnership with the Head of AI. The two functions are complementary - Head of AI owns AI-native product capabilities; you own the model-driven insights and operational intelligence that power both the product we sell and the decisions we make internally.
What You'll Own
- ML model portfolio - Design, develop, and productionize ML models that drivemeasurable operational outcomes. Priority domains include delivery prediction (EDD),carrier routing optimization, demand and volume forecasting, exception management,and brand-level churn and performance analytics.
- Experimentation framework - Build and own Stord's experimentation capability. Thatmeans rigorous A/B test design, lift measurement, causal inference where appropriate,and a framework the rest of the business can use to run experiments without coming toyour team for every one.
- Advanced analytics and segmentation - Own the analytical depth that supportsproduct, operations, and commercial decisions - customer and brand segmentation,behavioral analytics, cohort analysis
- ML adoption - Ensure models are actually used. This means translating outputs into language and workflows the business acts on, not publishing results to a dashboard no one reads. Adoption is half the job.
- Team - Build and lead a high-performing Decision Science function. Hire well, developthe people you have, and create an environment where strong data scientists do theirbest work.
- AI partnership - Work alongside the Head of AI to ensure ML model outputs areaccessible to AI-native products and that the Head of AI's roadmap has the model-drivensignal it needs to be effective.
What Success Looks Like in Year 1
By the end of your first year, you will have built the team, shipped a meaningful model portfolio, and established Decision Science as a trusted function inside Stord. Specifically:
- The team is
Source: Stord careers