Staff Data Scientist, GTM Tech

About the Role

Key Responsibilities

• Analyze available data by examining and evaluating existing datasets to determine their suitability for AI models, ensuring the data will drive efficient and accurate outcomes.
• Collaborate with cross-functional teams to understand specific use cases and identify appropriate data inputs for models focused on document processing, classification, scoring, and related applications.
• Work with stakeholders to define success metrics and ensure AI models are designed with the right data to achieve targeted business outcomes.
• Continuously assess the performance of AI models, making adjustments to data inputs and algorithms as needed to maintain alignment with desired outcomes.
• Monitor and improve the performance, reliability, and scalability of AI models and systems, including implementing observability for AI solutions.
• Partner with data engineers, domain experts, and other stakeholders to ensure effective integration of AI models into business processes and proper data usage for each application.

Requirements

• Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field, or equivalent industry experience.
• 5+ years of experience in data science with a focus on machine learning, Generative AI, and data analysis.
• Production coding experience with programming languages such as Python, R, or SQL.
• Strong understanding of model development, including document processing, classification, and scoring, and the selection of appropriate data inputs.
• Strong analytical mindset with the ability to determine the best data inputs for achieving specific business goals.
• Excellent communication skills, with the ability to articulate data-driven insights and recommendations to non-technical stakeholders.

Nice to Have

• Experience in working within the Business technology domain which has a combination of third-party and homegrown solutions.
• Experience in developing and deploying ML/AI models at scale and 2+ years of experience leveraging Generative AI models.
• Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with advanced Retrieval-Augmented Generation (RAG) techniques, particularly for processing large documents.
• A deep passion for AI and its potential to solve complex problems, with a continuous desire to learn and innovate.

Qualifications

• Educational background: Master's in relevant fields or equivalent industry experience.
• 5+ years of experience in data science, machine learning, and Generative AI.
• Proficiency in Python, R, or SQL.

Benefits & Perks

• Eligible to participate in Uber's bonus program and may be offered an equity award and other compensation.
• Eligible for various benefits as detailed at https://www.uber.com/careers/benefits.