Senior Data Science Manager, Growth & Retention

🕒 3 dias atrás

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PrizePicks

SiteLinkedInTodas as Vagas

201 - 500 funcionários

🎮 Jogos

⚽ Esportes

Gaming • Sports

PrizePicks é uma plataforma inovadora que oferece uma maneira dinâmica e interativa de participar de esportes diários de fantasia e esports. Os usuários podem fazer previsões sobre desempenhos de jogadores em vários esportes, incluindo NFL, NBA, MLB, CFB e muitos outros, com a oportunidade de ganhar até 1000 vezes o valor de sua inscrição. PrizePicks opera legalmente em 43 estados dos EUA, Washington D. C. e Canadá, fornecendo uma ampla gama de opções de apostas, incluindo Pick 'Em e Pick 'Em Arena, onde os usuários competem entre si por recompensas em dinheiro. A empresa enfatiza o engajamento dos usuários com recursos como promoções recorrentes e o jogo Streak, que é gratuito e permite que os participantes ganhem ao construir sequências de vitórias diárias. PrizePicks garante transações seguras e pagamentos rápidos, aprimorando a experiência e satisfação do usuário no mundo das apostas esportivas com dinheiro real.

Descrição

• Lead a team of data scientists, covering topics across retention and acquisition marketing • Oversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution • Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes • Integrate LLMs into data & operations workflows, to increase throughput & scale across domains • Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team • Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made • Collaborate with senior leadership, to align marketing data science effort with overall company & marketing goals

🎯 Requisitos

• 7+ years of experience in data science & analytics • 5+ years of experience in a marketing, customer, or revenue data-related role • 3+ years of experience managing or mentoring data scientists, analysts, or engineers • Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred • Proven experience in building and implementing production-grade machine learning models in an operations support capacity • Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes • Exceptional communicator, with experience presenting to senior leadership • Ability to influence cross-functional partners (Marketing, Finance, Product) • Comfortable balancing hands-on work with team leadership • Technical Skills • Strong statistical proficiency • Python for statistical computing, model development, and data visualization • Advanced SQL

🏖️ Benefícios

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • Annual bonus • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) • Generous paid leave programs, including 16-week paid parental leave and disability benefits • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked • Company-wide in-person events and team outings • Lifestyle enhancement program • Company equipment provided (Windows & Mac options) • Annual performance reviews with opportunities for growth and career development