Intuit is seeking a Senior Data Scientist to shape the future of in-product discovery and engagement by defining the experimentation roadmap, running rigorous experiments, and employing advanced experimentation techniques to drive platform adoption and growth.
Requirements
- Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch.
- Experience in modern advanced analytical tools and programming languages such as Python
- Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing)
- Distributed computing systems and related technologies (e.g., Spark, Hive)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code
- Experience in developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS
- Good working experience with data analytics and visualization tools (Tableau, QlikSense).
Responsibilities
- Partner with teams across all of Intuit (including product development, marketing, data engineering) to enable decision support and key customer insights
- Develop compelling visualizations that crystallize business opportunities for business stakeholders and leaders to make timely decisions.
- Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.
- Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, sustainable, and meet expectations of various stakeholders
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
- Deliver key metrics, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions for run the business metrics.
- Designs and implements technical and business documentation
Other
- Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred
- Build relationships with other functions critical to the team's mission.
- Travel requirements not mentioned
- Visa requirements not mentioned
- Good communication and collaboration skills not explicitly mentioned but implied through collaboration with various teams
