Job Description

Major 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.

Education & Experience:

• Bachelor’s or Master’s degree in Data Science or a related quantitative field (Computer Science, Engineering, Mathematics, Statistics, Economics, Operations Research, etc.).
• 2 years of relevant industry or graduate research experience applying statistical, machine learning, or analytical methods.
• Strong programming skills in Python and SQL, with experience in machine learning, statistical modeling, NLP/LLMs, algorithms, and handling large datasets.
• Proficient in data visualization and business productivity tools (Google Suite, Microsoft Office, project management and reporting tools).
• Ability to translate complex technical concepts for diverse audiences; strong interpersonal, written, and verbal communication skills.
• Demonstrated adaptability, collaborative teamwork, and a proactive, positive approach to learning and problem-solving.