Senior Data Scientist
Job Location:
Austin, TX - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Were hiring a Senior Data Scientist to embed within the marketing and growth function. Youll be the analytical backbone of how we acquire retain and grow our user base building the models dashboards and analyses that drive smarter spend sharper targeting and a deeper understanding of our players. A core part of this role will be measuring the true impact of our marketing and promotional investments: not just short-term lifts but the long-term effect on player behavior retention and lifetime value.
This role sits at the intersection of data engineering modeling and storytelling. Youll work directly with marketing product and finance leaders to turn raw behavioral and campaign data into decisions that move the business and youll own a problem end-to-end from pulling and cleaning the data to building the model to presenting the insight to stakeholders.
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 whats 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 arent 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
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: youd rather ship a useful 80% answer this week than a perfect one next quarter
Experience with mobile measurement partners (AppsFlyer Adjust Singular) and/or paid media APIs
Familiarity with cloud data warehouses (Snowflake BigQuery Redshift) and dbt
Background in gaming sports betting fantasy sports or another high-velocity consumer category
Experience modeling promo and bonus economics in a gaming fintech or e-commerce context
- Competitive compensation package including base salary benefits and equity. The annual salary for this role ranges from $135000 - $160000
Unlimited/Flexible paid time off.
Health benefits including medical dental and vision coverage as well as generous parental leave.
Employee-sponsored 401(k).
Extras:
$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.
Required Experience:
Senior IC
About Company
Fliff is a new sports prediction experience that is social and rewarding. Play for free and earn rewards to experience the sweat without the financial risk!
