Senior Data Scientist

Intuit Inc.; Mountain View (CA); On-site; USD 163,000 - 220,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit Inc. in Mountain View seeks a Sr. Data Scientist to join the ICS Data and Analytics Team. You will define KPIs, build predictive models, and drive data-driven strategies to improve Customer Success for Mid-Market and SMB customers.

Collaborate with product, digital and support teams to translate insights into tests and actions, and integrate GenAI to enhance analytics capabilities and business outcomes.

Qualifications

• 4+ years of experience in product/web/customer analytics or related field.
• Strong SQL and big data tech proficiency with BI tool experience.
• Experience with experiments design and causal inference methods.

Responsibilities

• Define KPIs and success metrics aligned with company goals.
• Provide actionable strategic recommendations from diverse data sets.
• Create clear data visualizations for stakeholders to drive decisions.

Skills

SQL

Big data platforms

A/B testing

Causal inference

Data storytelling

Cross-functional collaboration

Business acumen

Communication skills

Education

Bachelor’s degree in a quantitative field

Master’s degree preferred

Tools

Redshift

Spark

Hive

BigQuery

Tableau

Qlik

Dash

Job description

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 optimize 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!

Responsibilities

• 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.
• 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 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.

Qualifications

• 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, BigQuery), 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 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; 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 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 fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

The expected base pay range for this position is: Mountain View $162,500 - $220,000