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Staff Data Scientist

Category Data Location Mountain View, California; San Diego, California Job ID 19096
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

The Global Business Solutions (GBSG) Data Science org has an exciting opportunity to be part of the fast-growing Mid-market Data Science team that plays a critical role in driving growth in Mid-market with a long-term winning strategy. Disrupting the small business mid-market is one of Intuit’s "Big Bets" initiatives. 

The Mid-market Data Science team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps; (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing; (3) Develop advanced Data Science capabilities such as product recommendation and lead scoring model.


As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies. Your expertise—especially in sales and marketing analytics, causal inference and advanced analytics—will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.


Responsibilities


  1. Drive Business Strategy through Data - translate business problems into analytical frameworks. Connect data across multiple functions to drive actionable recommendations and strategic growth opportunities for the Mid Market Sales & Marketing Team

  2. Cross-Functional Influence - serve as the strategic data science partner to leaders across Sales, Marketing, Product, and Finance to drive mid-market account growth and expansion. Translate complex analytical findings into clear, compelling recommendations for executives and stakeholders.

  3. Insights at Scale - conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform strategic decisions. Create dashboards, visualizations, and self-serve tools to democratize access to insights across cross-functional teams and leadership. 

  4. Improve Customer Retention - own retention and churn analytics, including designing metrics, identifying risk signals, and recommending interventions

  5. Data Infrastructure & Governance - partner with data engineering and platform teams to ensure reliable, scalable data pipelines and tracking instrumentation are in place. Champion data hygiene and integrity.


Qualifications


  • 7+ years of experience in data science, with a proven record of applying advanced analytical methods to drive sales growth ideally in SaaS or financial technology companies serving consumer or B2B segments

  • Proven experience working with sales, marketing, or go-to-market teams; deep understanding of customer retention, churn analysis, and sales optimization strategies

  • Strong business acumen, excellent communication and storytelling skills with a track record of effectively simplifying the complex and delivering compelling narratives to stakeholders at all levels through data-driven insights

  • Advanced skills in SQL, Python, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Qlikview) to communicate insights; Experience with data integration and pipeline development is a plus

  • Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design

  • Experience using statistics and machine learning techniques to solve complex business problems within product marketing, e.g., product funnel optimization, propensity for feature adoption, next best action models etc.

  • M.S. or Ph.D. in a quantitative field (e.g., Statistics, Computer Science, Economics, Mathematics, Operations Research) or equivalent work experience


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: $186,500 - $252,000



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We use the technology for good to help small businesses and consumers.

Ercan Kaynakca Staff Data Crypto Analyst

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