Make more Creative Job Post Content< Staff Data Scientist, GTM Tech
- Responsibilities:
Location: San Francisco, CA | Sunnyvale, CA | Remote (US-Based)
Compensation: $195,000 – $217,000 per year + bonus, equity, and benefits
Are you passionate about Generative AI and leveraging data to drive impactful business outcomes? Uber is looking for a Staff Data Scientist, Generative AI to join our Business Technology team and help shape the future of AI-powered innovation.
This is your chance to work with cutting-edge technologies, collaborate across diverse teams, and create scalable AI models that optimize workflows, enhance document processing, and elevate business outcomes—all while redefining the way people and goods move through the world.
Why Join Us?
- Impactful Innovation: Drive business transformation with Generative AI, focusing on real-world applications like document classification, scoring, and retrieval-augmented generation.
- Cross-Functional Collaboration: Work alongside data engineers, product managers, and domain experts to integrate AI into business processes.
- Growth Opportunity: Shape Uber’s Generative AI strategy and mentor the next generation of AI talent.
- Inclusive Culture: Join a company that values diversity, equity, and innovation, offering unparalleled opportunities to learn and grow.
What You’ll Do
Key Responsibilities:
- Data Exploration & Analysis: Evaluate datasets to identify the most relevant inputs for AI models, ensuring optimal outcomes.
- AI Model Development: Collaborate with stakeholders to build ML/AI models for applications like document processing, classification, and scoring, ensuring alignment with business goals.
- Model Optimization: Continuously monitor and refine models, implementing observability to ensure performance, scalability, and reliability.
- Strategic Collaboration: Partner with cross-functional teams to define metrics for success and seamlessly integrate AI solutions into business workflows.
- Outcome Reporting: Develop dashboards and reports to track model performance and impact, translating complex data insights into actionable recommendations.
- Mentorship: Guide junior data scientists in best practices for AI model development, data selection, and business alignment.
What You’ll Bring
Basic Qualifications:
- Educational Background:
- Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field.
- Experience:
- 3-5+ years in data science with expertise in machine learning, Generative AI, and data analysis.
- Proven track record in developing AI models tied to measurable business outcomes.
- 5+ years of experience deploying ML/AI models, with 2+ years focused on Generative AI.
- Technical Skills:
- Proficiency in Python, R, or Julia for AI development.
- Expertise in deep learning frameworks like PyTorch, TensorFlow, or equivalent.
- Hands-on experience with Retrieval-Augmented Generation (RAG) techniques and natural language processing (NLP).
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI model deployment.
- Strong analytical mindset and the ability to communicate insights effectively to both technical and non-technical stakeholders.
Preferred Qualifications:
- Experience working with operations teams in SG&A domains for workflow optimization.
- Familiarity with business technology domains that combine third-party and homegrown solutions.
- Background in integrating AI solutions into enterprise workflows.
What We Offer
- Competitive Pay: Base salary range of $195,000–$217,000, plus bonuses and equity awards.
- Comprehensive Benefits: Including medical, dental, and vision insurance, flexible time off, and more.
- Growth Opportunities: Collaborate with industry leaders and drive impactful AI innovations.
- Hybrid Flexibility: Enjoy the benefits of in-person collaboration and remote work options.
