Lead - POC Data Science
7.0/10
Sardine
Not specified
Remote
lead
about 10 hours ago
aifintechtechPythonSQLSparkKafka
AI Summary
The vacancy is well-structured with clear responsibilities and requirements, but lacks specific compensation details.
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Description
Our culture
- •We have hubs in the Bay Area, NYC, Austin, Toronto, and São Paulo. However, we maintain a remote-first work culture. #WorkFromAnywhere
- •We hire talented, self-motivated individuals with extreme ownership and high growth orientation.
- •We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule.
What you'll be doing
- •Lead and develop a team of IC data scientists — set direction, unblock work, run 1:1s, and grow each person's scope and impact
- •Own POC/POV delivery — partner directly with enterprise customers to demonstrate fraud-loss reduction and platform ROI, from first data pull through to stakeholder readout
- •Stay hands-on in the technical work — build or review ML models, conduct in-depth fraud analyses, and ship production-grade solutions alongside your team
- •Define and track performance metrics — design dashboards and reporting frameworks to measure the effectiveness of risk strategies across clients
- •Translate client problems into data solutions — act as a senior point of contact for fraud challenges, turning complex findings into clear recommendations
- •Partner cross-functionally with Engineering, Product, and GTM to scope work, influence the roadmap, and ensure fraud solutions and models get instrumented and scaled correctly
- •Drive experimentation — support A/B testing to safely validate new strategies before full rollout
- •Raise the bar on craft — mentor IC data scientists on modeling rigor, storytelling with data, and client communication
Benefits we offer
- •Generous compensation in cash and equity
- •Early exercise for all options, including pre-vested
- •Work from anywhere: Remote-first Culture
- •Flexible paid time off and Year-end break
- •Health insurance, dental, and vision coverage for employees and dependents - *US and Canada specific*
- •4% matching in 401k / RRSP - *US and Canada specific*
- •MacBook Pro delivered to your door
- •One-time stipend to set up a home office — desk, chair, screen, etc.
- •Monthly meal stipend
- •Monthly social meet-up stipend
- •Annual health and wellness stipend
- •Annual Learning stipend
Requirements
What you'll need
- •7–10 years of experience in fraud/risk data science and analytics with demonstrated impact in fraud, payments, or fintech
- •2–3 years in a people leadership role (team lead, manager, or tech lead with direct reports) — you've coached data scientists and helped them grow
- •Strong hands-on technical skills — Python and SQL are essential; Spark, Kafka, or feature stores are a plus
- •Experience delivering POC/POV engagements with measurable customer outcomes
- •Proven track record with applied ML in fraud or risk — anomaly detection, classification, and graph analytics in production
- •Expertise in BI and dashboarding — Sigma, Tableau, Metabase, or equivalent
- •Strong communication and stakeholder management — able to translate complex model outputs for both technical and non-technical audiences, including clients and execs
- •Bias toward action and ownership — you don't wait to be unblocked
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