Responsibilities
- Use SQL, Python, or other related analytical tools and programming languages to query, organize, clean, and analyze large datasets.
- Build pragmatic, scalable, and rigorous solutions to large-scale labor market data problems by leveraging or developing state-of-the-art statistical and machine learning methodologies on top of Lightcast’s data infrastructure.
- Work cross-functionally to define problem statements, collect data, build models, and make recommendations to stakeholders and technical leaders.
- Contribute to projects under the guidance of more senior data scientists. Make business/technology trade-off recommendations when appropriate.
- Keep abreast of advancements in the field and deliver state-of-the-art solutions.
- Communicate key insights and recommendations to internal and external stakeholders across the organization.