Senior Systems Analyst - Senior Data Scientist

Overview

The Enterprise Data Analytics AI Transformation team is responsible for delivering transformative data and AI solutions, driving Con Edisons data strategy, and managing the Companys AI Platforms.

The Senior System Analyst, Senior Data Scientist on the AI Transformation and Data Science team will be responsible for applying innovative analytical and research approaches to help Con Edison tackle complex and strategically important problems. They will drive these innovations by leveraging our enterprise AI platforms to perform large-scale data analyses, the implementation of data products and development of machine learning and AI solutions.

The System Analyst will support ongoing and future project teams developing various data and AI solutions across the company. The ideal candidate should be committed, energetic and detail-oriented, and looking to contribute, support and grow strong leadership within their area of expertise. They should have solid written and oral communication skills and should be able to tailor their approach and communications to suit the audience. The role offers an opportunity to be part of a growing team as they shape the future of AI at the Company.

This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.

Responsibilities

• Design, develop, and deploy machine learning and AI solutions on the Company's AI platforms, owning individual projects from problem framing through delivery
• Use MLOps tooling to build, train, deploy, and monitor models, following the pipelines, standards, and established practices
• Translate business problems into well-defined analytical approaches, and advise stakeholders on feasibility and tradeoffs
• Build and validate advanced predictive and statistical models, making and defending methodology and performance decisions
• Partner with stakeholders and cross-functional teams to scope opportunities, set expectations, and deliver recommendations that drive action
• Apply the team's analytics and AI best practices, and contribute improvements back based on what you learn in project work
• Provide technical guidance to junior data scientists, including code review and modeling feedback

Qualifications

• Master's Degree and a minimum of 2 years relevant full-time work experience or
• Bachelor's Degree and a minimum of 3 years relevant full-time work experience or
• Associate's Degree and a minimum of 4 years relevant full-time work experience or
• High School Diploma/GED and a minimum of 5 years relevant full-time work experience

• Bachelor's Degree In Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 3 years relevant full-time work experience

• Experience working with data performing data analysis, developing predictive models, and presenting results, required
• Experience developing and deploying machine learning model pipelines, AI/GenAI and agentic systems, required
• Knowledge of SQL, required
• Knowledge of Python/R/JavaScript and other scripting languages, preferred
• Experience working with data visualization tools such as Power BI, preferred
• Experience working with data platforms such as Databricks, Google Cloud Platform and C3.ai, preferred
• Experience working with LLM / Agent Orchestration tools such as LangChain and Googles Agent Development Kit (ADK), preferred
• Experience working with MLOps tooling such as mlflow, preferred
• Familiarity with CI/CD, preferred
• Experience developing applications and/or databases, preferred
• Experience in utility environment or energy related fields, preferred

• Strong written and verbal communication skills
• Effective interpersonal skills
• Well organized, detail oriented and flexible to handle multiple assignments

• Driver's License Required
• Other: Google Professional Data Engineer Preferred
• Other: Google Professional Machine Learning Engineer Preferred
• Other: Databricks Professional Data Engineer Preferred
• Other: Databricks Machine Learning Professional Preferred

• Ability to push, pull, and lift up to 40 pounds
• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• Available to work off hours as operationally required