Quick summary
- Work type
- On-site
- Location
- Mountain View, CASan Diego, CA
- Salary
- $194,000–$262,500 / yr
- Posted
- 17 days ago
- Freshness
- Confirmed live yesterday
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays more than 79% of similar roles. Most pay $126,800–$214,500 — the shaded band above. At the midpoint, this role pays about $228k versus about $171k for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has 174 open roles on FindRole.
Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.
Most-posted roles
- Product Manager 34
- Software Engineer 33
- AI Scientist 21
- Forward Deployed Engineer 9
- Data Scientist 8
At a glance
TL;DR · Staff Data Scientist
As a GBSG - Staff Data Scientist on the Mid Market Data Science team, you will serve as a senior individual contributor focused on understanding and growing the customer base. You will translate complex business problems into analytical frameworks to drive growth for the Mid Market Marketing team while collaborating with sales, marketing, product, and finance leaders. Your daily work involves conducting deep-dive analyses on pipeline, win/loss, and customer lifetime value to improve retention and churn prevention. You will build dashboards, visualizations, and self-serve tools to democratize insights. The role requires expertise in causal inference, statistical modeling, machine learning, and experimental design. You will utilize SQL, Python, and visualization platforms like Tableau or Qlikview to solve problems regarding product funnel optimization, feature adoption propensity, and next best action models within the financial technology space.
What does a Data Scientist earn in California?
Median $208978 from 66 postings across 27 companies.
Skills
What you'll do
- Translate complex business problems into analytical frameworks to drive strategic growth opportunities.
- Partner with Sales, Marketing, Product, and Finance leaders to provide data-driven recommendations for mid-market expansion.
- Conduct deep-dive analyses on pipeline, win/loss, and customer lifetime value to inform executive decisions.
- Create dashboards and self-serve tools to democratize access to insights across cross-functional teams.
- Own retention and churn analytics by designing metrics, identifying risk signals, and recommending interventions.
- Partner with engineering teams to ensure reliable data pipelines and high standards of data hygiene.
- Apply causal inference, statistical modeling, and machine learning to solve complex business problems like funnel optimization.
What we're looking for
- 7+ years of experience in data science with a record of applying advanced analytical methods to drive growth.
- Experience working with sales or go-to-market teams including customer retention, churn analysis, and sales optimization strategies.
- Strong business acumen and communication skills to translate complex findings into compelling narratives for stakeholders at all levels.
- Advanced skills in SQL, Python, and data visualization platforms like Tableau or Qlikview.
- Experience with data integration and pipeline development (preferred).
- Proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
- Experience using statistics and machine learning to solve product marketing problems like funnel optimization and propensity models.
- M.S. or Ph.D. in a quantitative field or equivalent work experience.
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