Intuit is looking for a Staff Data Scientist to drive data-informed solutions and improve business outcomes in marketing analytics
Requirements
- Expertise in at least one scripting language (ideally Python/R), with experience building models in either language
- Proficiency in SQL and Hive
- Strong background in statistical analysis, programming, and experimentation
- Experience in querying and manipulating large data sets
- Knowledge to translate quantitative findings into actionable insights and influence business decisions
- Meaningful time as a data scientist partnering with business functions, ideally with paid marketing teams, and having expertise in analyzing brand campaigns
- Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams
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
- 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams
- Ability to turn ambiguous questions and problems into clear deliverables and insights
- Ability to make tradeoffs between speed and accuracy wisely
