Intuit Inc.
Staff Data Scientist, Personalization
Intuit Inc., Mountain View, California, us, 94039
Are you passionate about making huge business impacts through data-driven insights and developing game-changing new capabilities? Do you love working collaboratively in an innovative environment? Would you love to make a direct impact on customers’ lives? Come join the TurboTax Buyer Journey analytics team as a Staff Data Scientist focused on web personalization capabilities and analytics. You will be joining a team that is responsible for the end-to-end customer journey from first touch to diving into the tax prep process. As the data science leader for web personalization, you will develop new models and insights to personalize the site experience for potential and existing TurboTax customers, deliver new experimentation methods to better understand incremental impact of personalization, and collaborate with product, marketing, digital activation, and engineering teams to create a personalization center of excellence.
Responsibilities
Develop machine learning models and other approaches for key attribute identification in order to optimize content and user experience based on behavioral data. Lead development of a web personalization strategy, including identification of data sources and metrics and partner with engineering to develop feature engineering solutions for real-time personalization. Collaborate with cross-functional teams to design and implement data-driven personalization experiments. Develop and implement a structured experimentation framework for testing and validating personalized content and recommendations, including identifying key metrics and KPIs to measure performance and ROI. Communicate insights and recommendations to key stakeholders, including senior leadership, around benefit of personalization and recognition. Minimum Requirements
10+ years of experience working with sales analytics, product analytics, web analytics, customer analytics, or other customer experience analytics. Technical proficiency in SQL, Databrick, A/B testing, Tableau, and Excel. Experience in Advanced Analytics (e.g. Python, R) and developing and deploying machine learning models preferred. Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems. Exceptional problem-solving, quantitative thinking, organization, time management, and task prioritization skills. Outstanding communication skills with both technical and non-technical audiences. Bachelor’s Degree in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master’s Degree preferred; equivalent experience will be considered.
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Develop machine learning models and other approaches for key attribute identification in order to optimize content and user experience based on behavioral data. Lead development of a web personalization strategy, including identification of data sources and metrics and partner with engineering to develop feature engineering solutions for real-time personalization. Collaborate with cross-functional teams to design and implement data-driven personalization experiments. Develop and implement a structured experimentation framework for testing and validating personalized content and recommendations, including identifying key metrics and KPIs to measure performance and ROI. Communicate insights and recommendations to key stakeholders, including senior leadership, around benefit of personalization and recognition. Minimum Requirements
10+ years of experience working with sales analytics, product analytics, web analytics, customer analytics, or other customer experience analytics. Technical proficiency in SQL, Databrick, A/B testing, Tableau, and Excel. Experience in Advanced Analytics (e.g. Python, R) and developing and deploying machine learning models preferred. Ability to tell stories with data, influence business decisions at a leadership level, and provide solutions to business problems. Exceptional problem-solving, quantitative thinking, organization, time management, and task prioritization skills. Outstanding communication skills with both technical and non-technical audiences. Bachelor’s Degree in Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master’s Degree preferred; equivalent experience will be considered.
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