Lead Data Scientist
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 16, 2026. Compass scores B on the Alion truth index.
Join our data science team as a Lead Data Scientist. In this role, you will leverage your expertise in machine learning, statistical modeling, and data analysis to solve complex problems and drive strategic initiatives. You will collaborate with senior business stakeholders and engineering leaders, lead the development of predictive models, and communicate findings to both technical and non-technical audiences. A strong background in Python, SQL, and data science methodologies is required, along with a master's degree or PhD in a related field.
Missions
- Lead the end-to-end development, validation, and deployment of large-scale predictive models and algorithms that inform strategic business decisions.
- Collaborate deeply with senior business stakeholders and engineering partners to identify strategic opportunities, translate overarching business goals into complex analytical frameworks.
- 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.
Profil recherché
- 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