Senior Lead Data Scientist
$204,000–$226,700 year
On-siteAustin, Washington, United States
Job Summary
Lead large, cross-functional initiatives where problem and solution approaches are not well-defined, orchestrating efforts across multiple teams while managing dependencies and setting realistic timelines. Define and roll out new processes, methodologies, and best practices across the entire Data organization, translating cutting-edge industry research into practical, scalable solutions. Mentor senior-level data scientists and act as a trusted advisor to executive leadership on complex technical and strategic decisions. Establish clean code standards and software engineering best practices while evaluating methodologies to solve highly ambiguous business problems.
Required Qualifications
- Master's degree or PhD in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics)
- 8+ years of professional data science experience
- Deep expertise in multiple complex data science areas, such as XGBoost, deep learning, and NLP
- Proven experience as a technical lead, defining and driving strategic initiatives for multiple teams simultaneously
- Mastery of advanced Python and SQL for large-scale data manipulation, analysis, and architectural design
- Expertise in evaluating and selecting cutting-edge methodologies to solve highly ambiguous business problems
- Demonstrated experience designing and implementing robust MLOps pipelines for large-scale model deployment and monitoring
- Proven ability to define and enforce clean code standards and software engineering best practices across teams
- Experience mentoring and developing senior-level data scientists to foster growth and technical excellence
- Exceptional communication skills with a track record of serving as a trusted advisor to organizational leadership
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