Hybrid Data Scientist/ML Engineer—Renewable Energy

Amerit Consulting; New York (NY); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Energy Utilities company in New York, NY is seeking a Data Scientist/ML Engineer to design advanced analytics solutions and build scalable data pipelines. In a hybrid role (3 days onsite), you will develop ML models, create dashboards with Power BI and Tableau, and collaborate with cross‑functional teams on data requirements.

Strong SQL, Python, and AWS experience are essential. The position offers a 12‑month engagement with potential extension; candidate must be authorized to work in the USA

Qualifications

• 5+ years of relevant experience in data analytics and/or data engineering.
• Strong SQL and database management expertise.
• Proven experience building, maintaining, and supporting data pipelines and ETL processes.
• Strong Python skills for analytics, automation, and statistical applications.
• Experience with machine learning, statistical modeling, and advanced analytics.
• AWS/cloud experience, including data analysis and database migration projects.
• Strong understanding of data architecture, data modeling, and working with large-scale datasets.
• Direct Energy/Utilities industry experience, including utility data, EDI transactions, energy applications, rates, invoicing, and account management.

Responsibilities

• Design, develop, and implement analytical solutions to support business decisions using statistical and ML techniques on large datasets.
• Develop data pipelines and ETL processes; collaborate with cross-functional teams to define data requirements; build dashboards and reports with BI tools.
• Write complex SQL queries, manage data in relational databases, and create documentation for data processes, models, and tools.
• Apply full stack knowledge to set up new infrastructure and support data platforms.
• Leverage hardware understanding to optimize data processing and scale storage and compute on cloud platforms like AWS.

Skills

Python

SQL

Machine Learning

Data Analytics

AWS

Data Modeling

Tools

Power BI

Tableau

Airflow

Job description

Energy Utilities company in New York, NY is seeking a Data Scientist/ML Engineer to design advanced analytics solutions and build scalable data pipelines. In a hybrid role (3 days onsite), you will develop ML models, create dashboards with Power BI and Tableau, and collaborate with cross‑functional teams on data requirements.

Strong SQL, Python, and AWS experience are essential. The position offers a 12‑month engagement with potential extension; candidate must be authorized to work in the USA