Summary

We are seeking a Data Scientist II to join NYPA's Data Analytics team. As NYPA continues to expand its investments in data science, Artificial Intelligence (AI), Machine Learning (ML), Generative AI (GenAI), and emerging technologies, this role will play a key part in developing advanced analytics solutions and enabling enterprise-wide adoption of data-driven decision making.

In this hands-on data science position, you will design, build, and operationalize AI/ML models using both structured and unstructured datasets. You will collaborate closely with senior data scientists, and cross functional partners, including AI Fusion teams, to translate business objectives into practical, production-ready analytical solutions. You will also help keep the organization informed on the evolving capabilities of AI/ML and GenAI, contributing to NYPA's broader AI strategy and community of practice.

What You'll Do
• Build, enhance, and deploy AI/ML solutions that address business needs using structured and unstructured data
• Translate business and technical requirements into scalable analytical models and insights
• Evaluate and test emerging AI/ML/GenAI technologies and keep the organization updated on advancements
• Collaborate with senior data scientists, data engineers, application developers, and cross functional partners, including AI Fusion teams
• Support NYPA's Data Analytics and AI Community of Practice and contribute to enterprise AI strategy
• Work with modern cloud and distributed data tools to deliver reliable, high quality analytical outputs

The successful candidate will demonstrate hands on experience in advanced data analytics and AI/ML/GenAI techniques using tools such as Python, PySpark, Azure Foundry, and Databricks. They will also demonstrate strong communication and collaboration skills and bring a curiosity for the utility industry and emerging technology developments.

This is an excellent opportunity for a data scientist seeking growth, gaining meaningful experience in utility company while leveraging AI/ modern data analytic techniques, and the chance to contribute directly to NYPA's digital transformation.

Responsibilities

• Able to develop analytical model using various statistical methods to address business needs
• Works with greater independence, however, projects are still assigned by Manager/Director of Data Analytics.
• Works under moderate supervision, receiving advice and guidance from Lead Data Scientists.
• Work collaboratively with business partner to understand business analytical needs and propose solutions
• Applies standard practices and techniques to each situation, analyzes data, recognizes discrepancies in results, and follows operations through a series of detailed steps.
• Must meet deadlines set by senior level or above.

Knowledge, Skills and Abilities

• Experience in programming languages such as Python, R, SQL, and experience working with data analysis libraries and frameworks (e.g., Pandas, NumPy, SciPy, scikit-learn).
• Written communications skills must be at a level that can document facts (e.g. data, bug, issue, etc).
• Summarize analysis findings, write routing internal memos, compile weekly and monthly reports, report status of open issues or requests, as well as patch or maintenance notifications.
• Undertake programming, data analysis, and testing tasks, working within a team.
• General IT knowledge, and a basic understanding of enterprise systems. Perspective is limited to a specific system with awareness of NYPA IT operations and development procedures.
• General understanding of project management methodology and project work plans.

Education, Experience and Certifications

• Bachelor's Degree in data science, computer science, statistics, mathematics, or a related field.
• Minimum 2 years of related experience

Physical Requirements

Overnight travel to the various NYPA locations within New York State.

The New York Power Authority is committed to providing fair, competitive, and market-informed compensation. The estimated salary range for this position is: $102,000 - $140, 800. The salary offered will be determined based on the successful candidates' relevant experience, knowledge, skills, and abilities.