Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products. This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.

Responsibilities

System Architecture & Operational Excellence:

• Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.

• Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.

• Drive cross-functional end-to-end design architecture.

• Lead conversations with partner architects to influence AI-driven product design and strategy

AI/ML Development & Modeling:

• Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.

• Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).

• Review complex and challenging work to help simplify and execute with speed.

Strategy & Consultation:

• Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.

• Drive the design and creation of reusable AI capabilities.

Qualifications

• Advanced degree (Statistics, Applied Mathematics, Computer Science, or related), or equivalent experience

• 5+ years of experience in developing predictive models and statistical analysis in a financial services or risk management context

• Expert-level knowledge with modern AI development frameworks, and expertise in all the steps spanning the end-to-end MDLC.

• Strong proficiency in programming languages such as Python, R, or Scala, and expertise with Spark for data manipulation and ML feature creation

• Expert knowledge in a range of statistical and machine learning techniques, including Supervised, Unsupervised, and Generative AI (autoencoders, GANs, VAEs)

• Industry expert in ML, NLP or Optimization

• Practical experience with ETL processes, data warehousing, and cloud-based computing platforms

• Expert knowledge of data pipelines, processes, and design patterns, and ability to create logical and physical data models for cross-functional business problems

• Excellent communication skills, including the ability to present complex data and insights to non-technical business stakeholders

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). 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. 

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