Staff Data Scientist - Product Growh

Our team unites exceptional talent across disciplines to execute rapid tests, conduct deep analytics, and foster cross-functional collaboration that drives both customer value and business performance.

As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise-especially in causal inference and advanced analytics-will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.

Responsibilities

Set Technical Vision and Strategy:

• Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
• Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.

Drive Deep Analytics & Experimentation:

• Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
• Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.

Collaborate Across Functions:

• Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
• Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.

Lead by Example:

• Serve as a technical SME within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.

Operate with Agility and Impact:

• Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
• Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.

Experience & Expertise:

• 5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
• Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.

Technical Proficiency:

• Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
• Experience with data integration and pipeline development is a plus.

Cross-Functional Collaboration & Leadership:

• Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
• Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights.

Mindset & Attributes:

• A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
• An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation.

The expected base pay range for this position is:

Mountain View $194,000 - $262,500

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.