Sleeper - Data Scientist
Requirements
• Strong command of SQL and Python, or similar data-focused languages. • Python • Proficiency in Tableau or similar BI tools. • Tableau • BI tools • Proven experience with data modeling, pipeline design, and working with large-scale datasets. • data modeling • pipeline design • Solid understanding of experimental design, causal inference, and statistical analysis. • experimental design • Ability to visualize and communicate insights clearly to both technical and non-technical stakeholders. • visualize and communicate insights • Prior experience in a product analytics, business intelligence, or data science function. • product analytics • business intelligence • data science • Experience working with Marketing teams to design promotional strategies, segment and target users, and measure effectiveness of campaigns. • Experience working with large-scale product usage data to uncover patterns in user behavior, engagement, retention, and conversion. • product usage data • Experience working in real money gaming or other high-velocity transaction environments. • real money gaming • Experience working with teams focused on monetization and gaming economies. • monetization and gaming economies • We believe in fair and equitable pay. Certain locations in the United States require job postings to include a reasonable estimate of the base salary range and/or a general description of benefits and other compensation applicable to the role. • For this role, in this particular location, a reasonable estimate of the base salary range for new hires is between $75,000 USD to $175,000 USD, plus benefits including Medical, Dental, PTO, and 401k. • Please note that the salary range for this role takes into account a wide range of factors that are considered in making compensation decisions including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs.
Responsibilities
• Design, build, and maintain scalable data pipelines to ensure reliable, timely access to core product and business data. • scalable data pipelines • Define and develop core metrics to measure product performance, feature adoption, user engagement, and strategic initiatives. • core metrics • Build and maintain interactive dashboards in Tableau (or similar BI tools) to deliver clear, actionable insights to product and business stakeholders. • interactive dashboards • Design and analyze experiments (A/B tests) to evaluate new features and product changes. • experiments (A/B tests) • Translate complex data into clear, actionable insights using statistical analysis and visual storytelling. • statistical analysis and visual storytelling • Collaborate cross-functionally with product managers, engineers, designers, and executives to drive impact through data. • Proactively identify trends, anomalies, and opportunities hidden in user behavior and market dynamics.
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