**Overview** We are seeking a highly motivated and experienced Senior Data Scientist to join our Marketing Data Science Team. This critical role focuses on driving data-driven strategies that enhance customer engagement, retention, and loyalty across all stages of the lifecycle. If you possess a strong foundation in statistics, mathematics, programming, coupled with experimentation, ML modeling experience, and a proven ability to translate complex data into actionable insights for diverse stakeholders, this is your opportunity to make a profound impact. You'll work cross-functionally, applying advanced analytics to improve customer experiences and identify growth opportunities. If you're passionate about shaping the future of customer relationships through data, we'd love to hear from you. **What you'll bring** - 4+ years of experience working in web data science or product data science - Advanced proficiency in SQL, “big data” technologies (e.g., BigQuery, Redshift), and BI tools (e.g., Tableau, Dash), and familiarity with vendor platforms a plus (e.g., Google Analytics GA4, Segment, Amplitude) - Strong programming skills in Python; experience building ML models (GenAI models a plus), including automation and custom implementations - Deep expertise in experimentation design (A/B/n) and causal inference (Propensity Score, DiD, Synthetic Control) with a strategic understanding of their application - Understanding of AI-native architectures and GenAI platforms; able to assess implications for data, testing, and behavior - Strong business acumen and the ability to translate business strategy into testable hypotheses and learning agendas - Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership - Excellent communication and interpersonal skills, with a proven ability to build trust and collaborate seamlessly across technical, business, and cross-functional teams. - Comfortable working in a fast-paced environment and have flexibility to shift priorities when needed - Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field or equivalent work experience; Master’s Degree preferred **How you will lead** - Experimentation and A/B Testing: Design, execute, and analyze A/B tests and other experiments using a hypothesis-driven approach. Provide insights and recommendations based on test outcomes to optimize business strategies. - Predictive Analytics and Modeling: Develop predictive models and methodologies to uncover growth opportunities and support long-term business planning. - Enable Self-Serve Analytics: Define and implement standardized metrics, reports, and dashboards. Work with Data Engineering to ensure data quality - AI/GenAI Integration: Collaborate with AI teams to integrate AI/GenAI solutions into business processes, enhancing efficiency and innovation. - Define KPIs and Success Metrics: Establish key business indicators for projects, ensuring alignment with company objectives and clear measures of success. - Strategic Recommendations: Provide actionable recommendations using diverse data sets and business knowledge, even when complete data is unavailable, to support strategic decisions. - Data Visualizations: Translate complex data into clear, accessible visualizations that help stakeholders understand key insights and make informed decisions. - Cross-Functional Collaboration: Partner with product and sales teams to identify opportunities, create data-driven strategies, and influence decision-making. - Leadership and Ownership: Demonstrates boundaryless leadership and extreme accountability - proactively drives outcomes across teams and leads with influence, not authority. - Stay Current with Industry Trends: Keep up with evolving trends and advancements in data analytics to drive innovation and continuously improve business processes. 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.