Lead Data Scientist - Energy Forecasting & RealTime

Compunnel, Inc.; Town of Florida (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology firm is seeking a Lead Data Scientist to develop and deploy advanced forecasting models for renewable energy generation. This role involves designing machine learning pipelines, integrating data sources, and collaborating with cross-functional teams. Candidates should have advanced Python skills, experience in time-series forecasting, and knowledge of AWS services. Strong problem-solving and communication skills are also essential. Join in a dynamic and innovative environment focused on renewable energy solutions.

Qualifications

• Proven experience in machine learning model deployment with monitoring.
• Strong understanding of data pipelines and MLOps practices.
• Excellent analytical and problem-solving skills.

Responsibilities

• Lead forecasting model development for load, solar, and wind generation.
• Design and implement machine learning pipelines from data ingestion to deployment.
• Integrate external data sources into forecasting workflows.
• Develop scalable data pipelines for real-time operations.
• Build interactive dashboards for stakeholder communication.
• Collaborate with cross-functional teams in an Agile environment.

Skills

Python

Time-series forecasting

Machine learning deployment

SQL

Data visualization

APIs integration

AWS services

Problem-solving

Communication skills

Tools

pandas

NumPy

scikit-learn

statsmodels

Streamlit

Plotly

Jira

Confluence

Job description

A leading technology firm is seeking a Lead Data Scientist to develop and deploy advanced forecasting models for renewable energy generation. This role involves designing machine learning pipelines, integrating data sources, and collaborating with cross-functional teams. Candidates should have advanced Python skills, experience in time-series forecasting, and knowledge of AWS services. Strong problem-solving and communication skills are also essential. Join in a dynamic and innovative environment focused on renewable energy solutions.