Base Salary
$189k - $274k/yr
Responsibilities
- Partner with engineering, ML, search, data science, data engineering, and analytics practitioners to develop experimentation capabilities.
- Design, analyze, and interpret experiments, including applying hypothesis testing, p-values, causal inference, and other statistical methods.
- Build and operate high-throughput, low-latency distributed systems that process data at petabyte scale.
- Develop reusable frameworks, SDKs, and platform libraries for other engineering teams.
- Explore engagement behavior data and identify opportunities for product improvement.
- Identify, compute, and validate metrics used to measure success in product areas.
- Apply analytics, experimentation, and machine learning techniques to business problems.
- Collaborate with product, engineering, operations, design, and consumer research stakeholders.
- Present technical research, statistical concepts, and insights to audiences at all levels.
Requirements
- Bachelor’s or master’s degree in statistics, mathematics, engineering, or a related quantitative field.
- 8+ years of coding experience in Java, JavaScript, Go, or equivalent.
- 8+ years of experience designing and operating high-throughput, low-latency distributed systems processing data at petabyte scale.
- Prior experience with experiment design and/or A/B testing at scale.
- Demonstrated understanding of hypothesis testing, p-values, causal inference, and the statistical foundations of experimentation.
- Familiarity with statistical analysis and programming in R or Python.
- Proven data engineering experience, including data warehouse design and data modeling.
- Expertise in SQL and experience with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong programming skills in Python, Java, SQL, and Scala.
- Experience with AWS, Azure, or Google Cloud.
- Familiarity with machine learning algorithms and their application to data analysis.
- Ability to work independently, manage end-to-end product development with cross-functional teams, and communicate technical and statistical concepts clearly.
Benefits
- Competitive compensation package with performance-based rewards.
- Position may be eligible for a cash bonus, equity rewards, and benefits under applicable plans and programs.
- Expected base pay varies by location: $202,500-$274,000 in Mountain View or $188,500-$255,000 in San Diego, California.
Tech Stack
Categories
About Intuit
Intuit is a global technology platform that helps our customers and communities overcome their most important financial challenges. Serving millions of customers worldwide with TurboTax, QuickBooks, Credit Karma and Mailchimp, we believe that everyone should have the opportunity to prosper and we work tirelessly to find new, innovative ways to deliver on this belief. We encourage conversations on this page and will not delete comments that follow our terms of use. In order to keep this a safe community, the below posts may be removed: Repeated posts of the same content, spam or posts from fake accounts or profiles, offensive language or material, threats to others in the community, posts deliberately aimed to have a negative effect on the community or conversations.