Note: The job is a remote job and is open to candidates in USA. True Footage is a Series C technology company building transparent, explainable, and trustworthy residential real estate valuation products and analytical tools. The Staff Data Scientist will work with the CTO to develop statistical and machine learning methodologies, translate research into production systems, improve valuation models, and help establish technical standards while mentoring and supporting the growth of the Data Science organization.
Responsibilities
- Designing next-generation residential valuation methodologies
- Improving the accuracy and robustness of Kelley Blue Book Home Valuations
- Quantifying confidence and uncertainty in valuation models
- Building interpretable machine learning systems trusted by both consumers and professional appraisers
- Designing methodologies for rare and atypical properties
- Building analytical systems that increase confidence in one of the largest financial decisions most consumers will ever make
- Turning new analytical ideas into production systems used every day across the country
- Design and implement production-quality statistical and machine learning systems
- Partner directly with the CTO to develop new analytical methodologies
- Translate research ideas into scalable production software
- Design rigorous evaluation frameworks and continuously improve model performance
- Improve the reliability, maintainability, and engineering quality of our machine learning platform
- Collaborate closely with software engineering to bring new analytical capabilities into production
- Help establish technical standards and engineering best practices for Data Science
- Participate in hiring, mentoring, and building the next generation of the Data Science team
- Help define the technical direction of Data Science
- Participate in hiring and mentoring future team members
- Establish engineering and modeling best practices
- Scale the organization's technical capabilities
- Take on increasing technical leadership responsibilities over time
- Become a trusted technical partner to the CTO
- Shipped multiple production machine learning systems
- Made meaningful contributions to the next generation of our valuation methodology
- Significantly accelerated our ability to bring new analytical capabilities into production
- Helped raise the engineering quality of our machine learning platform
- Begun establishing the technical standards that will guide the future growth of the Data Science organization
Skills
- Strong background in machine learning and statistics
- Experience building production-quality machine learning systems
- Excellent Python programming skills
- Strong software engineering fundamentals, including testing, version control, modular design, and writing maintainable production code
- Able to communicate complex technical ideas clearly
- Enjoys working through difficult technical problems collaboratively
- Comfortable giving and receiving constructive technical feedback
Benefits
- Equity
Company Overview