Set the vision and strategy for Data Analytics and Data Science
Partner with Data Engineering to modernize our data infrastructure
Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability
Be the AI thought leader, finding new and innovative ways to leverage AI to improve the business
Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction
Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making
Create dashboards and analytical tools to empower self-service and automate insights
Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks
Champion data-driven decision-making and raise the data IQ across the company

10+ years of experience across Data Analytics, Data Science, and Data Engineering, with at least 3+ years leading multi-disciplinary data teams.
Proven experience owning and scaling a modern data stack (Snowflake/BigQuery, dbt, Airflow, Databricks, Fivetran, etc.).
Strong technical proficiency in SQL and Python.
Proficiency in leveraging AI across data verticals and an eagerness to continue to learn more.
Experience building and maintaining production-level data pipelines and ML models.
Experience with A/B testing frameworks, causal inference, and experimentation platforms.
Demonstrated ability to translate sophisticated data concepts into clear, actionable insights.
Excellent communication, prioritization, and stakeholder-management skills.

$170,000-$200,000 base salary + bonus + equity
The opportunity to have a voice, say, and “leave your fingerprints” on our product and business
A commitment to provide you with the benefits of a start-up career without the start-up pains
Benefits on par with leading, progressive tech companies (think 100% employee-only coverage, monthly HSA contribution, mental health offerings, etc.)
401(k)
Paid parental leave
PTO/Sick Time
Dedication to Lifelong Learning through our Monthly Speaker Series
A culture of trust and accountability

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