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Overview

Come join the QB Live Data Science as a Staff Data Scientist. Our team works cross functionally to improve and accelerate decision-making across the Expert Segment by surfacing data, insights, and strategic thinking that address our most critical customer and business problems.

This role will partner closely with product managers, marketers, and other analysts across the organization.

Responsibilities

Developing complex data analysis, methodologies, and predictive data models that result in insights to drive business growth opportunities and decision making

Lead experimentation, including hypothesis formulation, test development, insight generation/visualization, and action planning

Interpret and visualize raw data and make it digestible and accessible for business users

Communicates data-driven insights from complex sources and handles significant volumes of data for complex and unique business problems

Define business problems and translating statistical Analytics into business intelligence that drives performance

Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)

Provides updates on KPIs to business stakeholders, offering the guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research

Qualifications

6+ years of experience working in product, marketing, web, or other related data science & analytics fields.

Highly proficient in SQL, Tableau, and Excel

Ability to derive insights, tell stories with data, educate effectively, instill confidence in recommendations, and motivate others to act on them

Experience with programming languages including R or Python

Ability to pull and manipulate data including building ETL/data pipelines to support analytics use cases with advanced SQL and data warehousing knowledge

Statistical knowledge to guide and support A/B testing or other experimentation frameworks, and interpret the results to draw detailed and practical conclusions

Experience in modeling or business application/evaluation of machine learning

Excellent problem-solving skills and end to end quantitative thinking

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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 (https://www.intuit.com/careers/benefits/full-time-employees/) ). 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:

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.