Senior Data Scientist

Austin, TX

FloSports, Inc.

The essential destination for live streams and on-demand replays of your favorite sports, plus original content, real-time stats, game clips, rankings, news, and much more.

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FloSports is a world-class sports media company strategically positioned to be the essential  destination for passionate sports fans, delighting them with live event coverage, breaking news,  highlights, stats, rankings, and team and player profiles. We are growing Our Sports every day  by continuing to invest in our ever-expanding ecosystem, which consists of over a dozen sport  verticals and hundreds of streaming partners. FloSports is creating the home for college  conferences/leagues and sports like grappling, hockey, track & field, racing, cheer, wrestling,  and more, and we are looking for innovative and passionate people like you to help us! 

THE ROLE: 

FloSports Business Intelligence (BI) team owns company-wide reporting, analytics, and insights, our Snowflake data infrastructure, our ML/AI models, and is a partner to Product and Product Marketing for experiment design and analysis, as well as marketing and growth analytics. Our BI team is seeking a Data Scientist, Experimentation & Growth Analytics, to join our high-impact group and drive innovative and cutting edge data science for our experimentation platform and marketing insights and analytics. 

We're seeking a Data Scientist with deep expertise in A/B testing and causal inference who has prior oversight experience for experimentation and marketing analytics. In this role, you'll design and scale our experimentation framework while partnering with product, engineering, and BI teams to measure how product changes and new experiences impact our customers. Success in this role requires strong partnerships with marketing and the experiment growth team, along with the ability to translate business and product needs into effective technical solutions.

RESPONSIBILITIES:

  • Own the full lifecycle of A/B and multivariate experiments across web, mobile, and connected TV platforms.

  • Develop causal modeling techniques (e.g., diff-in-diff, propensity matching, synthetic control) for scenarios where randomized experiments are not feasible.

  • Work closely with cross-functional teams to ensure experiments and forecasting models are well-aligned with company growth goals, providing data-driven insights for product planning and strategic decisions.

  • Partner with product and engineering to improve our experimentation tooling, including test setup automation, metric tracking, and diagnostics for common failure modes.

  • Help define experimentation success across the org. Create guardrails and north star metrics that are statistically sound and product-relevant.

  • Analyze key business metrics across the funnel to identify opportunities for growth and optimization.

  • Create personalized segmentation strategies leveraging propensity models to enable campaign personalization.

  • Revise attribution modeling by leveraging industry best practices and integrating into subscription and demand forecasting workflows to enable marketing to scale across the most effective channels and grow revenue.

  • Measure and quantify the incremental impact of growth initiatives, marketing campaigns, and product features to optimize return on investment.

KNOWLEDGE, SKILLS AND ABILITIES: 

  • BA/BS in Mathematics/Statistics, Finance, Computer Science, Engineering, Operations Research, or other technical field, advanced analytics degrees preferred

  • 5+ years of experience in a data science or quantitative analysis role, ideally with a product-focused organization. Bonus points for familiarity with subscription-based DTC businesses, OTT products, and/or SVOD and live event streaming services.

  • Proficiency in causal inference methodologies and experience applying them to real-world business problems.

  • Excellent written and verbal communication skills, particularly communicating complex data concepts, to both technical and non-technical audiences.

  • Experience with Bayesian statistical modeling and inference, with the ability to use these methods to analyze experimental data and inform decision-making.

BONUS POINTS: 

  • Experience with Streamlit in Snowflake for turning data and ML models into interactive apps with Python.

OUR COMMITMENT TO DIVERSITY:

At FloSports, we are bonded by our passion for sports and our purpose to unite communities around experiences that finally give underserved sports the love they deserve. We recognize the need to build a company that seeks out, embraces, and celebrates our individual differences, ideas, and talent. FloSports is committed to the pursuit of a fair, equal and inclusive workplace where everyone is given the opportunity to grow to their fullest potential. 

 

OUR BENEFITS:

  • Recognized three years in a row as a Top Workplace by the Austin-American Statesman

  • Flexibility at work - you can take control of your profession and personal schedule

  • All-hands events hosted in beautiful Austin, Texas 

  • Annual equity awards for all top performers

  • Competitive and comprehensive medical, dental and vision plans

  • Peace of mind through company-paid short-term disability, long-term disability and life insurance

  • Generous 401(K) company match vested immediately

  • Progressive parental leave policies

  • Flexible paid time off

  • Hack-a-thons and a full calendar of team-building and social events

  • Company donation to youth teams and leagues that our employees coach

  • Stocked snack bar, catered lunch and breakfast tacos every week

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: A/B testing Bayesian Business Intelligence Causal inference Computer Science Engineering Finance Machine Learning Mathematics ML models Python Research Snowflake Statistical modeling Statistics Streaming Streamlit Testing

Perks/benefits: 401(k) matching Career development Conferences Flex hours Flex vacation Health care Insurance Lunch / meals Medical leave Parental leave Salary bonus Startup environment Team events

Regions: Remote/Anywhere North America
Country: United States

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