Senior Data Scientist at Fliff
Overview
Fliff seeks a Senior Data Scientist to join the marketing and growth team. You will serve as the analytical backbone for acquiring retaining and growing users through advanced modeling and insights. This role blends data engineering modeling and storytelling to drive smarter spend sharper targeting and deeper player understanding.
What You'll Do11
- 1Build and maintain predictive models that drive marketing strategy including player LTV churn risk CAC payback and propensity-to-convert models
- 2Own marketing attribution and incrementality analysis across paid channels such as Meta Google TikTok and affiliates
- 3Quantify causal impact and long-term business value of promotions bonuses and lifecycle campaigns using causal inference techniques
- 4Partner with growth marketers to design run and read out experiments including A/B tests geo-tests and holdout studies
- 5Develop and maintain dashboards and self-serve reporting for real-time visibility into channel performance cohort behavior and promo ROI
- 6Clean structure and validate data across marketing stack ad platforms MMP internal event data and CRM
- 7Translate complex analyses into clear actionable recommendations for non-technical stakeholders
- 8Continuously look for opportunities to automate improve and scale how the marketing team uses data
- 9Analyze long term and incremental impact of marketing and promotional spend focusing on who responded versus who was influenced
- 10Evaluate marketing measurement concepts attribution incrementality holdouts cohort analysis and unit economics
- 11Design test size and read out experiments with statistical rigor
Requirements19
- 15+ years of experience as a data scientist marketing analyst or growth analyst in consumer app gaming fintech or subscription business
- 2Strong SQL skills and comfort working with large messy behavioral datasets
- 3Hands-on experience building predictive models in Python using libraries like scikit-learn XGBoost or similar
- 4Experience evaluating long term and incremental impact of marketing and promotional spend understanding difference between response and influence
- 5Working knowledge of causal inference methods diff-in-diff synthetic control CausalImpact uplift modeling and propensity scoring
- 6Solid grounding in marketing measurement concepts attribution MTA MMM basics incrementality holdouts cohort analysis and unit economics CAC LTV payback
- 7Proficiency with at least one BI/visualization tool such as Looker Tableau Mode Sigma
- 8Strong communication skills explaining models to marketers and campaign results to CFOs
- 9Bias toward action shipping useful 80 percent answers weekly
- 10Experience with mobile measurement partners AppsFlyer Adjust Singular and paid media APIs
- 11Familiarity with cloud data warehouses Snowflake BigQuery Redshift and dbt
- 12Background in gaming sports betting fantasy sports or other high velocity consumer categories
- 13Experience modeling promo and bonus economics in gaming fintech or e commerce contexts
- 14Competitive compensation package including base salary benefits and equity
- 15Annual salary range $135000 - $160000
- 16Unlimited/flexible paid time off health benefits medical dental and vision generous parental leave employee sponsored 401k
- 17$500 work from home stipend equipment and accessories
- 18Remote work flexible schedule
- 19Professional development opportunities in dynamic global setting
Salary Insight
$135 - $160k per year
Location
Required Skills
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