Senior Data Scientist

Core Responsibilities

• Build pragmatic, scalable, and statistically 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 with and manage very large (and messy) data sets; build ML pipelines that scale to work with this data effectively. Experience working with and designing continuous machine learning pipelines is required.
• Support product development by performing quantitative analysis using Lightcast’s world-class demand and supply data, as well as other data sources to investigate, manipulate, and model solutions for products.
• Manage large and/or complex projects to completion. Make business/technology trade-offs when appropriate.
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations.
• Champion the incorporation of new tools/methods/techniques.
• Possess a strong ability to connect data science results and methods with use cases and communicate key insights and recommendations to internal and external stakeholders across the organization.
• Develop innovative analytical models and document the methodology and findings in a manner accessible to a variety of audiences.
• Research and drive new product capabilities searching for innovative ideas and product enhancements using data.
• Contribute to positive team culture by participating in team-building activities and being a supportive and empathetic colleague. Actively mentor and support junior colleagues.

Knowledge, Skills, Abilities

• Proficiency with SQL, Python, and related analytical tools and programming languages.
• Experience with Machine Learning, Statistics, or other data analysis tools and techniques.
• Strong written and verbal communication skills.
• Strong analytical skills.
• Strong quality assurance skills with attention to detail in both quantitative analyses and technical writing/documentation.
• Proficiency with Microsoft Office Suite and Google Suite with advanced skills in Excel and PowerPoint.
• Experience with Tableau or similar BI tools is a plus.
• Ability to work effectively both independently and in a team environment.
• Creative problem-solving skills and the ability to look at the numbers, trends, and data to derive conclusions based on findings.

Credentials and Experience

• Bachelor’s degree or above in Data Science, or a field with a strong quantitative and analytic focus (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related fields).
• 3 - 5 years of industry or graduate research experience solving analytical problems and building models using quantitative, statistical or machine learning approaches.