Lead Data Scientist
$175,500–$195,000 year
On-siteAustin, Texas, United States
Job Summary
Lead end-to-end development, validation, and deployment of large-scale predictive models and algorithms to inform strategic business decisions and market trend analysis. Design rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling ambiguous problems while collaborating with senior stakeholders to translate goals into complex analytical frameworks. Synthesize and communicate technical trade-offs and strategic findings to C-level executives and technical audiences, acting as a mentor to foster continuous learning and adherence to state-of-the-art methodologies.
Required Qualifications
- Master's degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field
- 5+ years of experience in data science with a proven track record of conceptualizing, leading, and delivering highly successful, end-to-end data science projects
- Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference)
- Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP)
- Demonstrated proficiency in Python and SQL for complex data manipulation, statistical analysis, and model development
- Hands-on experience productionizing machine learning models and strong familiarity with MLOps concepts and workflows
- Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems
- Strong advocate for clean code principles, software engineering best practices, and technical standards
- Strong business acumen and strategic thinking, with a proven ability to understand the broader business context, evaluate tradeoffs, and align analytical projects with organizational goals
- Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment
Desired Qualifications
- Experience in the Real Estate industry or other market-driven domains is a plus
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