StyleSeat - Senior / Lead Applied Data Scientist
Requirements
• Successful candidates can come from a variety of backgrounds, yet here are some of the critical experiences we’re looking for: • 5+ years of experience in Data Science, Applied ML, or related roles in production environments • Strong foundation in machine learning, experimentation, and statistical thinking • machine learning, experimentation, and statistical thinking • Proven track record of driving business impact, not just building models • driving business impact • Highly proficient in SQL and Python • SQL and Python • Experience working cross-functionally with Product and Engineering teams • What sets you apart: • Product mindset • You think like a PM: identifying problems, prioritizing opportunities, and driving outcomes • You care more about impact than technical elegance • Extreme ownership • You don’t wait for direction—you create it • You proactively push ideas into production and measure results • AI-native builder • You actively use AI tools (LLMs, agents, copilots) to accelerate your work • You understand how AI can be applied to real business problems • You can prototype and iterate faster because of it • Speed & pragmatism • You know when to ship a scrappy V1 vs. build something robust • You optimize for learning and impact, not perfection • Strong communicator • You can explain complex ideas clearly to any audience • You influence decisions across technical and non-technical teams
Responsibilities
• End-to-end ownership of Search, Recommendations, and Personalization • Improve ranking, relevance, and discovery across the marketplace • Drive measurable lift in Booking CVR, rebooking, and engagement • Your own roadmap • Your own roadmap • Identify opportunities independently (no waiting for PM direction) • Prioritize based on business impact, not technical novelty • Push ideas into live experimentation quickly • Rapid experimentation & iteration • Design and analyze A/B tests and other experiments • Move quickly from idea → prototype → production test → insight • Applied machine learning systems • Develop and iterate on models (ranking, recommendation, personalization, etc.) • Work across the stack—from data exploration to model design to experimentation • AI-powered velocity • AI-powered velocity • Leverage LLMs, agents, and AI tooling to dramatically accelerate your workflow • Prototype faster, analyze faster, and ship faster than traditional approaches • Explore opportunities to apply AI both internally and in user-facing features • Cross-functional influence • Partner with Product, Engineering, and Analytics to bring ideas to life • Communicate complex ideas clearly to non-technical stakeholders • Act as a thought partner on product strategy—not just execution • Data Science leadership (IC) • Set the bar for how Data Science operates at StyleSeat • Bring product thinking, speed, and autonomy into the team • Help shape future hiring and direction of the function • What Success Looks Like • You’ve shipped multiple experiments that drive measurable improvements in Booking CVR and booking volume • measurable improvements in Booking CVR and booking volume • You’ve established a clear, high-impact roadmap for search and personalization • You’re consistently identifying and executing on opportunities without needing direction • You’ve meaningfully increased the velocity of experimentation through AI-enabled workflows • velocity of experimentation • You’ve become a trusted partner to Product & Engineering, influencing roadmap and strategy • You’ve raised the bar for what “Data Science” means at StyleSeat
Benefits
• Our job titles may span more than one career level. The career levels we are targeting for this role have a base pay between $160,000 and $195,000. This role is eligible for equity grants. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. Base pay ranges are subject to change and may be modified in the future. • $160,000 and $195,000
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