Staff Data Scientist

What you'll do

• Develop measurement strategies and success criteria for nascent products where established benchmarks do not yet exist.
• Translate customer behavior and market signals into strategic recommendations for acquisition and engagement initiatives.
• Create analytical frameworks that connect early customer signals to long-term business outcomes and performance metrics.
• Design experimentation roadmaps to move projects from broad hypotheses to measurable tests and actionable results.
• Build compelling visualizations and narratives to help leadership make informed investment decisions on emerging opportunities.
• Identify growth opportunities across the customer lifecycle, including acquisition, retention, and year-round engagement.
• Provide data-driven insights for business reviews and planning cycles to identify where resources will have the most impact.
• Mentor other data scientists and champion best practices in experimentation, measurement, and decision science.

What we're looking for

• 5+ years of experience in data science, analytics, business intelligence, or a related field.
• Proven track record of shaping strategy and influencing executive decision making through data.
• Experience supporting zero to one products, emerging business models, growth initiatives, or other highly ambiguous problem spaces.
• Strong expertise in experimentation, performance measurement, customer analytics, and causal or decision-oriented analysis.
• Demonstrated ability to define success metrics and learning frameworks for initiatives without established benchmarks.
• Strong business acumen across customer acquisition, engagement, retention, product strategy, and operations.
• Expertise in data visualization tools such as Tableau, Power BI, Looker, or similar platforms.
• Advanced SQL proficiency and experience using Python or R for analysis, modeling, and automation.