Senior Data Scientist

What you'll do

• Lead analytical initiatives across payments, subscriptions, commerce, fraud, risk, and player experience.
• Set experimental, causal-inference, statistical-modeling, and machine-learning approaches; build scalable models and reusable measurement capabilities.
• Advise senior stakeholders on product and business decisions, and provide technical leadership through mentorship and methodology guidance.

What they ask for

• 5+ years of professional experience in data science, applied statistics, machine learning, or a related quantitative discipline.
• Bachelor’s or advanced degree in a quantitative field, or equivalent practical experience.
• Advanced SQL and Python skills, with deep expertise in experimentation, causal inference, statistical modeling, machine learning, and model evaluation.
• Demonstrated success leading complex data science initiatives from problem framing through operationalization and impact measurement.

Nice to have

• Experience in payments, subscriptions, digital commerce, fintech, gaming, media, marketplaces, or scaled consumer technology.
• Experience operationalizing models and using large-scale platforms such as Snowflake, Databricks, Spark, or BigQuery.

Pay

USD $180,000 to $205,000 annual base salary

Tools

SQL, Python, Snowflake, Databricks, Spark, BigQuery

AI focus

Develop and evaluate machine-learning models for payments, subscriptions, commerce, fraud, risk, and player experience.