Intuit
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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 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! 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 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!
What you'll bring
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
Preferred
Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations Experience solving growth-related problems at financial technology companies serving consumer or SMBs Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.) Familiarity with version control software (git), and general software development
How you will lead
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.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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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! 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 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!
What you'll bring
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
Preferred
Strong programming skills in Python or R; experience building ML and GenAI models, including automation and custom implementations Experience solving growth-related problems at financial technology companies serving consumer or SMBs Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.) Familiarity with version control software (git), and general software development
How you will lead
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.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at Intuit by 2x Get notified about new Senior Data Scientist jobs in
San Jose, CA . Mountain View, CA $110,000.00-$160,000.00 1 month ago San Jose, CA $123,500.00-$212,850.00 2 weeks ago Data Science Manager, Subscription Revenue
Menlo Park, CA $253,000.00-$314,000.00 2 weeks ago Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Data Science Director [Relocate to Dubai] **Experimentation**
Menlo Park, CA $314,000.00-$361,000.00 2 weeks ago San Francisco Bay Area $220,000.00-$320,000.00 12 hours ago San Francisco Bay Area $225,000.00-$275,000.00 3 weeks ago San Francisco Bay Area $210,000.00-$260,000.00 2 weeks ago Senior Manager, Data Science - Meraki - REMOTE
San Jose, CA $210,600.00-$305,100.00 1 day ago San Francisco Bay Area $250,000.00-$275,000.00 4 weeks ago San Francisco Bay Area $250,000.00-$300,000.00 2 weeks ago Santa Clara, CA $197,000.00-$300,080.00 5 days ago San Francisco Bay Area $240,000.00-$280,000.00 3 weeks ago Senior Director, Commercial Data Science
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Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Senior Manager, Infrastructure Data Science
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Sunnyvale, CA $169,000.00-$338,000.00 1 week ago Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD)
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San Jose, CA $89,300.00-$146,900.00 14 hours ago Director of Finance and Administration, Biomedical Data Science
Stanford, CA $205,050.00-$283,688.00 2 weeks ago Director of Finance and Administration, Biomedical Data Science
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San Francisco Bay Area $140,000.00-$157,500.00 2 weeks ago Sunnyvale, CA $170,000.00-$277,000.00 1 day ago Senior Staff Data Scientist, Trust and Anti-Abuse
Mountain View, CA $168,000.00-$276,000.00 1 week ago Mountain View, CA $149,500.00-$215,500.00 18 hours ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr