Data Scientist

🕒 Fevereiro 24

🥔 Idaho – Remoto

🥔 Idaho – Remote

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

📊 Cientista de Dados

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Lightcast

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

🏢 Corporativo

📚 Educação

🏛️ Governo

Enterprise • Education • Government

A Lightcast é uma autoridade líder em dados do mercado de trabalho, fornecendo análises confiáveis e abrangentes para orientar decisões nos setores de educação, empresas e governo. Com mais de 23 anos de experiência, a Lightcast entrega insights detalhados sobre habilidades, empregos, oferta e demanda através de um extenso conjunto de dados gerados a partir de milhões de anúncios de emprego, perfis de carreira e outras fontes ao redor do mundo. Seus serviços são projetados para ajudar instituições educacionais, empresas e organizações governamentais a construírem forças de trabalho preparadas para o futuro, usando dados habilitados por IA e continuamente atualizados. A Lightcast é reconhecida globalmente e confiada por inovadores da indústria, sendo um recurso vital para organizações que navegam em desafios da força de trabalho e mudanças demográficas no mercado de trabalho.

Descrição

• 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.

🎯 Requisitos

• 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. • 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred). • 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) (preferred). • Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred). • Familiarity with Natural Language Processing (NLP) techniques and applications (preferred).