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.
Responsibilities
- 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.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: New York $160,000.00 - 216,500.00This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits).Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
