Overview We are seeking a Data Scientist 2 to join the CRM analytics team for shaping the future of in-product discovery and engagement. You will define the experimentation roadmap, run rigorous experiments and employ advanced experimentation techniques to drive platform adoption and growth. In this role, you’ll collaborate with product, design, marketing and engineering teams to deliver data-driven solutions at scale. Your work will directly influence strategy, helping millions of users find more value in our platform.
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.
Build relationships with other functions critical to the team's mission.
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
Qualifications 4+ Years of 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
Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred
Experience in developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS
Experience in building multidimensional schemas for consolidating data from multiple sources (Redshift, Hive, SparkSQL, Athena)
Good working experience with data analytics and visualization tools (Tableau, QlikSense).
Knowledge of Computer science fundamentals: data structures, algorithms, and performance complexity
Familiarity with Data Science workflow and life cycle
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
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