Overview
Intuit is seeking an innovative and hands-on Staff Data Scientist to join the Intuit AI team. This is an exciting opportunity to be part of a collaborative and creative group of data scientists and machine learning engineers. You will be responsible for building and deploying machine learning models that directly impact hundreds of thousands of our customers.
What You'll Bring
- Experience: 4+ years of industry experience in data science.
- Education: BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent.
- Expertise: Hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised learning, Online, Bayesian, Reinforcement, or Deep Learning.
- Optimization: Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- NLP and AI: Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Tools: Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java, and/or R.
- Data Handling: Efficient in SQL, Hive, SparkSQL, etc.
- Environment: Comfortable working in a Linux environment.
- Communication: Strong oral and written communication skills, with the ability to conduct meetings and make professional presentations.
How You Will Lead
- Leadership: Practice leadership and communication skills to influence teams and evangelize data science across the organization.
- Collaboration: Collaborate with stakeholders to define success criteria and align model metrics with business goals.
- Technical Work: Lead the technical work of a scrum team, including initiating and designing model solutions, driving end-to-end architecture designs, and ensuring high-quality code and implementation standards.
- Data Analysis: Perform hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them "model-ready".
- Machine Learning: Apply data mining, NLP, and machine learning techniques to real-world problems and datasets.
- Testing and Communication: Run A/B tests to draw conclusions on the impact of your team’s work and communicate results to peers and leaders.
- Research: Proactively research, explore, and enable new ML technologies, keeping up with new developments in academia and industry.
This role is based in Mountain View, California, and requires on-site presence. Join us in our mission to power prosperity around the world by leveraging your data science expertise to solve real-world problems.
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