Kevin Just
Data Scientist / AI Engineer
Data scientist, analyst, and AI engineer with 15 years of experience in tech. Growth roles at Facebook, Twitch, and TikTok, failed IPO at Wish, successful exit at LiveRail.
Product Analytics
Core metrics, funnel drivers, A/B testing, dashboards
Data Engineering
Pipelines, database design, efficient analysis foundations
AI Engineering
End-to-end software products with modern AI tools
Professional Experience
- Data pipelines connecting Shopify (transactions, retention, LTV) with Google/Meta/TikTok Ads (costs, conversions, CAC) for end-to-end ROI tracking
- Backoffice analytics suite: full funnel, retention, churn, and LTV reporting with breakdowns by network, campaign, creative
- Ad Campaign and Creative Management tools to streamline AdOps workflows
- Led data science for ID.me Shop affiliate program (discounts for verified Military, Nurses, Teachers, First Responders)
- Built automated reporting, optimization tooling, and customer segmentation models for targeted campaigns
- Hired and led a small team focused on growth analytics
- Led analytics, A/B testing, and dashboarding for TikTok Shop US product launch
- Ran experiments on coupon and discount strategies to drive first purchases
- Hired early User Growth team across Data Engineering, Data Analytics, and Data Science
- Implemented multiplicative funnel decomposition framework for commerce metrics
- Owned Dynamic Pricer analytics — price optimization across user+product tuples
- Identified long-term retention impacts through holdout analysis, influencing pricing strategy
- Worked closely with executive team through company transition period
- Primary DS through new product features: streamer ad incentives, picture-in-picture viewing
- Connected Amazon Ad Network to Twitch to programmatically fill and monetize unused inventory
- Ads revenue increased >50% Y/Y, attributed to foundational ad tech improvements
- Led measurement for LiveRail acquisition integration; analysis drove product rebranding to Audience Network for Video
- Lead data scientist for Audience Network launch in London — grew to $100M revenue run rate in 8 months
- Built inventory quality measurement and enforcement systems for competitive auction pricing
- Designed sales incentive system correlating bonuses with audience value
Skills
Languages: TypeScript, JavaScript, Python, SQL, R, HTML/CSS
Frameworks: Next.js, React, Node.js, Tailwind CSS, pandas, scikit-learn
Tools: Git, Vercel, Supabase, PostgreSQL, AWS, Stripe
Domains: AI/ML Integration, Full-Stack Development, Data Analysis, Econometrics
Education
Master of Arts in Applied Statistics - University of Michigan
Bachelor of Science in Mathematics - University of Minnesota