Applied Machine Learning ScientistLightcast
We’re seeking an Applied Machine Learning Scientist to join our team and collaborate closely with our Product, Data, and Research teams. In this role, you’ll analyze labor market trends, workforce dynamics, and broader economic patterns to help shape insights on the future of work.
You’ll work with large-scale datasets—cleaning, organizing, and interpreting complex information to build innovative models, datasets, and visualizations. Your work will drive actionable insights and directly support the development of Lightcast’s products and services.
Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets.
Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics.
Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends.
Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow.
Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences.
Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies.
Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems.
- Interpersonal, written, and verbal communication skills, with ability to convey technical topics to diverse audiences.•Good - Strong
- Strong statistical reasoning and ability to translate complex data into strategic business insights.•Good - Strong
- Experience with cloud platforms (AWS) and orchestration tools (Apache Airflow) for managing large datasets and workflows.•Average - Excellent
- Solid understanding of machine learning techniques: classification, regression, and time-series forecasting.•Good - Excellent
- Demonstrated ability to write clean, scalable code and independently prototype data solutions.•Average - Excellent
- Python, SQL, and machine learning libraries (Scikit-learn or PyTorch)•2 - 5 years
- Familiarity with Natural Language Processing (NLP) techniques and applications.•1 - 3 years
- Proficiency with data visualization tools (Tableau, Power BI, or Plotly)•2 - 5 years
- Experience working with large labor markets (government labor statistics, survey data, or job market intelligence platforms
- Labor market analytics, workforce intelligence, or related domains•2 - 5 years
Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.
We are proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.
Competitive salary
Comprehensive health benefit package
