Senior Data Scientist

🔥 2 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

💵 $135k - $160k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Fliff Inc

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎮 Gaming

⚽ Sports

👥 B2C

💰 Venture Round on 2022-08

Gaming • Sports • B2C

Fliff Inc. is a social sportsbook platform that transforms sports predictions into a play-for-fun social game. The company provides users with free daily credits to make sports picks and earn rewards without requiring any purchase. Users can win Fliff Coins to progress in leaderboards and earn badges, and Fliff Cash in promotional games, which can be redeemed for prizes. Fliff emphasizes social interaction, offering challenges, loyalty rewards, and referral bonuses while remaining compliant with gaming regulations across the United States, excluding Washington.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive compensation package, including base salary, benefits, and equity. The annual salary for this role ranges from $135,000 - $160,000 • 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.