Senior Data Scientist

Senior Data ScientistFliff is the arena for high-upside play. We are dismantling the paywalls of legacy sportsbooks and reimagining the economics of social games to pioneer the next generation of rewards-driven entertainment spanning sports, casino, predictions, collectibles, and beyond. Powered by a frictionless freemium architecture, Fliff democratizes access and gives millions of players nationwide a real stake, real thrill, and real upside. By combining authentic competitive drive with instant rewards and interactive games, we are turning passive sports fans and casual gamers into active, empowered participants – unlocking the player in everyone.Fliff is redefining the sports gaming experience by blending the fun of social play with the thrill of real-money competition. What began as a pioneering social sportsbook has evolved into a multi-vertical platform that is the fastest-growing brand in sports gaming. As we continue to expand, we're building a world-class ecosystem of sports gaming experiences that span social, sweepstakes, and real-money formats, giving every type of fan a way to play, compete, and connect.The Role:We're hiring a Senior Data Scientist to embed within the marketing and growth function. You'll 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. You'll work directly with marketing, product, and finance leaders to turn raw behavioral and campaign data into decisions that move the business — and you'll own a problem end-to-end, from pulling and cleaning the data, to building the model, to presenting the insight to stakeholders.Key Responsibilities:Build and maintain predictive models that drive marketing strategy, including player LTV, churn risk, CAC payback, and propensity-to-convert modelsOwn marketing attribution and incrementality analysis across paid channels (Meta, Google, TikTok, affiliates, influencers, etc.), helping the team understand what's actually driving growthQuantify 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 impactApply causal inference techniques (geo experiments, synthetic control, diff-in-diff, CausalImpact, uplift modeling) to evaluate marketing investments where clean A/B tests aren't possiblePartner with growth marketers to design, run, and read out experiments: A/B tests, geo-tests, holdout studies, and creative testsDevelop and maintain dashboards and self-serve reporting that give marketing leaders real-time visibility into channel performance, cohort behavior, promo ROI, and funnel healthClean, 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 neededTranslate complex analyses into clear, actionable recommendations for non-technical stakeholdersContinuously look for opportunities to automate, improve, and scale how the marketing team uses dataWhat We're Looking For:5+ years of experience as a data scientist, marketing analyst, or growth analyst, ideally in a consumer app, gaming, fintech, or subscription businessStrong SQL skills and comfort working with large, messy behavioral datasetsHands-on experience building predictive models in Python (LTV, churn, propensity, segmentation, etc.) using libraries like scikit-learn, XGBoost, or similarExperience evaluating the long-term and incremental impact of marketing and promotional spend: you understand the difference between who responded and who was actually influencedWorking knowledge of causal inference methods (diff-in-diff, synthetic control, CausalImpact, uplift modeling, propensity scoring) and when to apply eachSolid 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 rigorProficiency 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 clarityA bias toward action: you'd rather ship a useful 80% answer this week than a perfect one next quarterNice to Have:Experience with mobile measurement partners (AppsFlyer, Adjust, Singular) and/or paid media APIsFamiliarity with cloud data warehouses (Snowflake, BigQuery, Redshift) and dbtBackground in gaming, sports betting, fantasy sports, or another high-velocity consumer categoryExperience modeling promo and bonus economics in a gaming, fintech, or e-commerce contextBenefits:Competitive compensation package, including base salary, benefits, and equity. The annual salary for this role ranges from $135,000 - $160,000Unlimited/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.We are a multinational company with our headquarters based in Philadelphia, and offices in New York, Austin, and Sofia, Bulgaria. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is welcoming and friendly, and the work that we do is always interesting and rewarding. Wherever we are in the world, we pride ourselves on being a close-knit, focused team that is:Welcoming and FriendlyWe want to reflect the diversity of the cities we serve. By creating an inclusive culture where everyone can thrive, we'll make Fliff better for employees and customers alike.Lively and CreativeWe respect and value each other's ideas, experience and expertise. There is no such thing as a bad idea; only ideas that are executed and ideas that are discarded after consideration.Stimulating and RewardingWe know bright minds love a challenge, and we understand your desire to see your hard work pay off. We'll make sure your daily tasks align with your career ambitions as we grow together.Equal Employment Opportunity StatementFliff is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Join Our Team!If you're ready to be part of an exciting, innovative, and dynamic team, apply now to help shape the future of sports gaming with Fliff.Important Notice: The privacy and security of applicant information is paramount and we take fraud attempts very seriously. Please note that Fliff will never ask for payment or personal financial information during the application process. All of our legitimate job opportunities can be found on our official career site ( Please be cautious of communications and links that come from non-company email addresses (@getfliff.com), social media messaging platforms or unsolicited phone calls.