Lead Data Scientist
Posted Updated
Description
- We are seeking a highly skilled and motivated Lead Data Scientist to join our data science team.
- In this role, you will leverage your deep expertise in machine learning, statistical modeling, and data analysis to solve our most complex problems.
- You will set the standard for data science excellence, architect scalable solutions, and help define the long-term analytical strategy.
- You will partner with senior business stakeholders and engineering leaders to uncover insights, develop cutting-edge data-driven solutions, and drive initiatives that directly shape company-wide strategic planning, resource allocation, and product innovation
- Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions and market trend analysis
- Design and execute rigorous data-driven research to analyze the impact of multi-faceted factors on business outcomes, tackling the organization’s most highly ambiguous and open-ended problems
- Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks, and deliver high-impact actionable insights
- Synthesize and communicate highly complex methodologies, technical trade-offs, and strategic findings clearly to both C-level executives and technical audiences
- Act as a technical mentor to other data scientists, fostering a culture of continuous learning, rigorous peer review, and adherence to state-of-the-art methodologies
- Exceptional communication and collaboration skills, with a proven ability to work effectively in a fast-paced, cross-functional environment
- Experience in the Real Estate industry or other market-driven domains is a plus
- Strong advocate for clean code principles, software engineering best practices, and technical standards
- Experience mentoring and guiding junior team members, overseeing project quality, and investigating root causes of complex technical challenges
- Proven experience leading complex, cross-functional projects and applying advanced methodologies to solve ambiguous business problems
- 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
- Extensive practical experience architecting solutions using a broad range of methodologies (e.g., prediction, segmentation, NLP)
- Deep expertise in key data science domains (e.g., time-series forecasting, deep learning, causal inference)
- 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
- 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
- Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a related quantitative field