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Mid LevelFull-timePythonAWSMachine LearningData SciencePyTorchNLP
Salary Range
$80,750 - $109,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join Lightcast, a global leader in labor market insights. This role involves analyzing labor market trends, workforce dynamics, and economic patterns to develop innovative models and visualizations.
Key Responsibilities
- →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 to identify patterns and forecast labor trends
- →Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow 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
- →Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies
Requirements
- ✓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
- ✓Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch
- ✓Demonstrated ability to write clean, scalable code and independently prototype data solutions
- ✓Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting
- ✓Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows
- ✓Strong statistical reasoning and ability to translate complex data into strategic business insights
- ✓Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences
- ✓Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms)
- ✓Proficiency with data visualization tools such as Tableau, Power BI, or Plotly
- ✓Familiarity with Natural Language Processing (NLP) techniques and applications
