Intuit is looking to solve the problem of driving data-informed solutions to improve business outcomes and product decisions by hiring a Manager 2 of Data Science to lead a team responsible for developing and utilizing data to drive insights and decisions for the PM function.
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
- Build and lead a team of analysts and data scientists, providing leadership, direction, and guidance.
- Develop data-driven insights to drive product 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 novel product features and experiences.
- Manage operational effectiveness of the data mining, statistical analysis, and predictive modeling programming activities.
- Apply expertise in data mining and data presentation
Other
- Bachelor's + Master's degree or PhD in Statistics, Mathematics, Computer Science, or related field.
- 5+ 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 and product teams.
- Experience leading key technical projects and substantially influencing the scope and output of others.
- Ability to make tradeoffs between speed and accuracy wisely
