Senior Data Scientist

Overview

We are seeking a highly motivated and experienced Sr. Data Scientist to join our ICs Data and Analytics Team. In this role, you’ll drive data‑driven strategies to optimise Customer Success outcomes for both Mid‑Market and SMB customers. If you’re passionate about shaping the future of sales technology through data, we’d love to hear from you!

• 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 Visualisations:
  Translate complex data into clear, accessible visualisations that help stakeholders understand key insights and make informed decisions.
• Experimentation and A/B Testing:
  Design, execute and analyse A/B tests and other experiments using a hypothesis‑driven approach. Provide insights and recommendations based on test outcomes to optimise business strategies.
• Predictive Analytics and Modelling:
  Develop predictive models and methodologies to uncover growth opportunities and support long‑term business planning.
• Enable Self‑Serve Analytics:
  Define and implement standardised metrics, reports and dashboards. Work with Data Engineering to ensure data quality and enhance real‑time analytic capabilities.
• AI/GenAI Integration:
  Collaborate with AI teams to integrate AI/GenAI solutions into business processes, enhancing efficiency and innovation.
• Cross‑Functional
  
  Collaboration:
  
  Partner with product, digital and customer support teams to identify opportunities, create data‑driven strategies and influence decision‑making.

• 4+ years of experience working with product analytics, web analytics, customer care analytics, or other customer experience analytics
• Advanced proficiency in SQL, “big data” technologies (e.g., Redshift, Spark, Hive, Big Query), and BI tools (e.g., Tableau, Qlik, Dash). Qlik certification is a big plus
• Deep expertise in experimentation design (A/B/n, bandits, painted‑door) 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 behaviour
• 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 visualisations, 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 able to shift priorities when needed
• Bachelor’s degree in Engineering, Data Science, Statistics, Mathematics, Computer Science, Economics or related quantitative field;
  Master’s Degree preferred

Intuit provides a competitive compensation package with a strong pay‑for‑performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programmes.

The expected base pay range for this position is:

Bay Area (California): $162,500 – $220,000
Southern California: $149,500 – $202,500
San Diego: $149,500 – $202,500
Mountain View, CA: $162,500 – $220,000