Senior Data Scientist

🕒 Maio 21

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Fliff Inc

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🎮 Jogos

⚽ Esportes

👥 B2C

💰 Venture Round em 2022-08

Gaming • Sports • B2C

Fliff Inc. é uma plataforma de sportsbook social que transforma previsões esportivas em um jogo social voltado à diversão. A empresa oferece aos usuários créditos diários gratuitos para fazer palpites esportivos e ganhar recompensas, sem exigir qualquer compra. Os usuários podem ganhar Fliff Coins para subir em rankings e conquistar badges, e Fliff Cash em jogos promocionais, que podem ser resgatados por prêmios. A Fliff enfatiza a interação social, oferecendo desafios, recompensas de fidelidade e bônus por indicação, mantendo a conformidade com as regulamentações de jogos em todos os Estados Unidos, com exceção de Washington.

Descrição

• Build and maintain predictive models that drive marketing strategy, including player LTV, churn risk, CAC payback, and propensity-to-convert models • Own marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok, affiliates, influencers, etc.), helping the team understand what's actually driving growth • Quantify the causal impact and long-term business value of promotions, bonuses, and lifecycle campaigns, moving beyond surface-level engagement metrics to measure true incremental retention, monetization, and LTV impact • Apply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact, uplift modeling) to evaluate marketing investments where clean A/B tests aren't possible • Partner with growth marketers to design, run, and read out experiments: A/B tests, geo-tests, holdout studies, and creative tests • Develop and maintain dashboards and self-serve reporting that give marketing leaders real-time visibility into channel performance, cohort behavior, promo ROI, and funnel health • Clean, structure, and validate data across our marketing stack (ad platforms, MMP, internal event data, CRM) and partner with data engineering to improve our data models where needed • Translate complex analyses into clear, actionable recommendations for non-technical stakeholders • Continuously look for opportunities to automate, improve, and scale how the marketing team uses data

🎯 Requisitos

• 5+ years of experience as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming, fintech, or subscription business • Strong SQL skills and comfort working with large, messy behavioral datasets • Hands-on experience building predictive models in Python (LTV, churn, propensity, segmentation, etc.) using libraries like scikit-learn, XGBoost, or similar • Experience evaluating the long-term and incremental impact of marketing and promotional spend: you understand the difference between *who responded* and *who was actually influenced* • Working knowledge of causal inference methods (diff-in-diff, synthetic control, CausalImpact, uplift modeling, propensity scoring) and when to apply each • Solid grounding in marketing measurement concepts: attribution (MTA, MMM basics), incrementality, holdouts, cohort analysis, and unit economics (CAC, LTV, payback) • Experience with experimentation: designing tests, sizing them, and reading them out with statistical rigor • Proficiency with at least one BI/visualization tool (Looker, Tableau, Mode, Sigma, etc.) • Strong communication skills: you can explain a model to a marketer and a campaign result to a CFO with equal clarity • A bias toward action: you'd rather ship a useful 80% answer this week than a perfect one next quarter

🏖️ Benefícios

• Competitive compensation package, including base salary, benefits, and equity. • Unlimited/Flexible paid time off. • Health benefits, including medical, dental, and vision coverage, as well as generous parental leave. • Employee-sponsored 401(k). • $500 work-from-home stipend + Equipment & Accessories. • Work Remotely. • Opportunity for professional development in a dynamic, global setting. • A supportive, collaborative, and knowledge-driven workplace. An engaging and challenging role with the freedom to innovate and develop effective solutions.