Senior Data Scientist

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

Job summary

Intuit is seeking a highly motivated Sr. Data Scientist to join the IC Data and Analytics Team in Mountain View.

You will drive data-driven strategies to optimize Customer Success for Mid-Market and SMB customers, translating business needs into predictive models, dashboards, and actionable insights. Responsibilities include defining KPIs, designing experiments, and collaborating with product, digital, and support teams to influence decision-making.

Qualifications

• 4+ years of experience in product analytics, web analytics, customer care analytics, or similar customer experience analytics.
• Proficiency in SQL and big data technologies; experience with BI tools like Tableau/Qlik/Dash.
• Deep expertise in experimentation design and causal inference with strategic application.
• Understanding of AI-native architectures and GenAI platforms and their data implications.
• Strong business acumen and ability to translate strategy into testable hypotheses and learning agendas.
• Strong data storytelling, visualization skills, and ability to influence leadership.
• Excellent communication and collaboration across technical, business, and cross-functional teams.
• Comfortable in fast-paced environments with shifting priorities.

Responsibilities

• Define KPIs and success metrics aligned with company objectives.
• Provide strategic data-driven recommendations across teams.
• Create clear, accessible data visualizations for stakeholders.
• Design and analyze A/B tests and other experiments.
• Develop predictive models to uncover growth opportunities.
• Enable self-serve analytics with standardized metrics and dashboards.
• Collaborate with AI teams to integrate GenAI solutions.
• Partner with product, digital, and customer support teams to drive data-driven strategies.

Skills

SQL

Big Data

BI Tools

Experimentation

Causal Inference

GenAI

Data storytelling

Communication

Cross-functional collaboration

Business acumen

Education

Bachelor's degree in Engineering/Data Science/Statistics/Math/CS/Economics

Master's degree preferred

Tools

Redshift

Spark

Hive

BigQuery

Tableau

Qlik

Dash

Job description

Overview

We are seeking a highly motivated and experienced Sr. Data Scientist to join our IC 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