Intuit Staff Data Scientist, Customer Analytics in San Francisco, California
Every year, tens of millions of Americans leverage TurboTax to file their taxes, but that’s just one piece of a customer’s overall financial journey. Intuit’s mission to power prosperity around the world drives us to help our customers beyond their taxes, and Intuit’s full ecosystem of product offerings (including TurboTax, Mint, Credit Karma, and QuickBooks) can help our customers overcome their biggest financial challenges in a multitude of ways.
We’re looking for an experienced data scientist to help unlock the full power of our ecosystem of offerings by increasing the connectivity and customer engagement across Intuit’s suite of products. By helping us get the right customer to the right product at the right time, this role will play a critical element in building data solutions to ensure our customers maximally benefit from all Intuit has to offer.
What you'll bring
BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research, etc.)
Proficiency with relational database querying languages (e.g., SQL) and advanced statistical analysis/programming languages (e.g., Python or R)
5+ years of experience with building and applying data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining
Experience with experimentation, including conducting and analyzing A/B tests with various applied statistical techniques as well as making confident data-driven recommendations based on experiment results, and communicating these to stakeholders with various levels of technical knowledge
Entrepreneurial and self-directed, demonstrated ability to tackle ambiguous problems, innovate and bias toward action in fast-paced environments
How you will lead
Quickly gain a deep understanding of Intuit's data, including data sources, architecture, and systems
Work cross-functionally to define problem statement, create long term product vision, and build/apply machine learning models when appropriate
Develop and deploy both real-time and batch machine learning models that help customers find other Intuit products that are most beneficial to their current financial position
Effectively identify areas of opportunities for model improvement, iterate and deploy in parallel for proper controlled experimentation/ performance reads
Influence others through data expertise, insights, and thoughtful recommendations
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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