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Job Overview
Location
Indiana, USA
Job Type
Full-time
Category
Data Science
Date Posted
October 9, 2025
Full Job Description
đź“‹ Description
- • Own the full analytical lifecycle that powers Swiftly’s next-generation product recommendations, from raw clickstream data to real-time personalization models that influence millions of grocery shoppers every day.
- • Architect and maintain scalable data pipelines in Databricks that ingest, clean, and transform terabytes of omnichannel transaction, loyalty, and media-attribution data into modeling-ready datasets with sub-hour latency.
- • Design and execute rigorous A/B and multivariate experiments across mobile app, web, and in-store touchpoints; translate statistical findings into concrete product specs that unlock double-digit lifts in basket size and retention.
- • Build and deploy clustering, forecasting, and marketing-mix models that enable regional grocers to predict demand, optimize promotions, and allocate media spend—turning Swiftly’s retail-media network into a profit engine shared with partners.
- • Create interactive dashboards and self-service analytical tools that democratize insights for executives, marketers, and product managers, ensuring every team bases decisions on the same source of truth.
- • Simulate “what-if” scenarios—ranging from loyalty-rule changes to nationwide coupon drops—to quantify ROI and guide strategic bets before a single line of production code is written.
- • Partner daily with engineering, product, and retail-success teams to identify hidden friction points in the shopper journey and translate them into data-driven feature backlogs that ship in two-week sprints.
- • Continuously monitor model performance and data quality, proactively surfacing anomalies and retraining pipelines so that recommendations stay relevant amid seasonality, supply shocks, and shifting consumer behavior.
- • Contribute to Swiftly’s knowledge base by documenting best practices, mentoring junior analysts, and presenting findings at all-hands meetings that shape company-wide OKRs.
- • Champion a culture of ethical data use, ensuring models comply with privacy regulations and promote equitable outcomes for every shopper demographic we serve.
🎯 Requirements
- • 4+ years of hands-on industry experience designing, coding, and operating large-scale data pipelines and machine-learning architectures in production.
- • Bachelor’s degree in Mathematics, Statistics, Computer Science, Computer Engineering, or a related quantitative field.
- • Demonstrated expertise with Databricks: building ML models, orchestrating job pipelines, and managing cluster configurations end-to-end.
- • Proven track record applying clustering, forecasting, or marketing-mix modeling techniques to real-world marketing or retail use cases.
- • Advanced proficiency in PySpark for distributed data processing and a solid grasp of statistical theory (confidence intervals, hypothesis testing, p-values).
- • Must be authorized to work in the United States without current or future visa sponsorship.
🏖️ Benefits
- • Competitive base salary of $155,000–$165,000, calibrated to your depth of relevant experience.
- • Fully remote-first culture—work from anywhere in the U.S. while staying synced with West Coast hours for collaboration.
- • Ground-floor impact at a Series-C startup serving 70+ grocery banners, where your models directly shape the future of brick-and-mortar retail.
- • Collaborative, ego-free environment that prizes experimentation, continuous learning, and shared ownership from inception to customer deployment.
Skills & Technologies
Data Science
Remote
About Swiftly, Inc.
Swiftly provides cloud-based retail technology that unifies online and in-store commerce. Its platform integrates point-of-sale, loyalty programs, media networks, and fulfillment workflows to help grocery and convenience chains increase sales, reduce operational costs, and deliver personalized shopping experiences through real-time data analytics and mobile-first tools.
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