Senior Data Analyst; Machine Learning : Con Edison

Senior Data Analyst/Engineer (Machine Learning) ::
Con Edison ::
New York

Contract

• Databricks Data Engineer certification (most important; can be completed post-onboarding).
• Google Cloud certification (acceptable post-hire).

• SQL – Must be able to write and execute SQL queries independently. Strong hands‑on ability is required, including data extraction and basic to intermediate transformations.
• PySpark – Core requirement. Strong hands‑on experience building data pipelines and performing large‑scale data processing.
• Python / Pandas – Required for data cleaning, transformation, and analysis.
• Machine Learning – 20% of the role. Candidates must have hands‑on ML experience (classification, regression, clustering, model evaluation). No training will be provided on ML concepts.
• Data Analysis Focus – Majority of the role involves SQL-based data extraction and PySpark/Pandas-driven analysis and insights.
• ML + Analytics Integration – Candidates should understand end-to-end workflows combining SQL, PySpark, and ML.

Approximately 10 Data Engineers and 6 Data Scientists within the team.

Please ensure candidates are screened heavily for hands‑on PySpark, Pandas, SQL coding ability, and real ML implementation experience before submission.