Staff Data Scientist - AI Engineering & Productivity
Salary not listed • Austin, Texas, United States of America • Full-time
Posted 23d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
LLM Engineer
About the job
The AI Engineering and Productivity team is seeking a Staff Data Scientist to empower engineering teams with reliable and secure AI-driven tools. This role will streamline workflows, accelerate decision-making, surface insights, and drive productivity gains across the product lifecycle. You will lead AI/ML and data science products, tackling complex problems and translating ambiguous business challenges into scalable, production-grade AI solutions with measurable enterprise impact.
Responsibilities
- Shape scientific direction and ensure methodological quality and operational robustness of products.
- Grow technical capabilities within the AI/ML scientist community through exploration, knowledge sharing, and mentorship.
- Drive product development, manage risks, and ensure quality to generate significant business impact.
- Collaborate cross-functionally with data engineering, delivery teams, and business units.
- Influence stakeholders and leaders by translating technical tradeoffs and risks into business decisions.
Requirements
- 8+ years of experience in advanced analytics, AI/ML, or operations research, with 3+ years in a leadership role.
- Demonstrated thought leadership in applying innovative methodologies to business problems.
- Deep expertise across multiple AI/ML and analytics domains, with a preferred focus on LLMs.
- Proficiency in Python, cloud-based data science platforms (Databricks preferred), and SQL.
- Experience with generative AI tools and platforms (e.g., Cursor, GitHub Copilot, Microsoft Copilot, Glean, Databricks Genie).
- Ability to frame ambiguous business problems into analytical strategies and measurable outcomes.
- Strong presentation and communication skills.
- M.S. degree in a relevant quantitative field or equivalent experience.
Benefits
- Relocation benefits are available.