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Staff Data Scientist

Intuit

Salary not specified
Oct 10, 2025
Mountain View, CA, US
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The company is looking to improve its marketing analytics capabilities to drive data-informed solutions, optimize marketing efforts for better ROI, and influence business decisions through data-driven insights.

Requirements

  • Expertise in at least one scripting language (ideally Python/R), with experience building models in either langugage
  • Proficiency in SQL and Hive.
  • Experience in querying and manipulating large data sets.
  • Strong background in statistical analysis, programming, and experimentation.
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Ability to make tradeoffs between speed and accuracy wisely

Responsibilities

  • Develop data-driven insights to drive marketing decisions and improve business outcomes.
  • Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products.
  • Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
  • Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
  • Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments.
  • Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
  • Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.

Other

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field or equivalent experience
  • MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS
  • 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  • Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams.