Data Scientist

As a Data Scientist at Central Hudson Gas & Electric-a regulated electric and gas utility serving New York's Mid-Hudson River Valley-you will gain valuable, hands-on experience applying fundamental data science methods to inform key business decisions. All Data Scientist roles at Central Hudson have a broad impact, supporting critical functions across the organization-from operational optimization to strategic planning-ultimately helping deliver reliable services that benefit our customers, employees, and overall performance. What does a Data Scientist do? Collects, cleans, and organizes data from various internal and external sources Conducts exploratory data analyses to identify trends, correlations, and insights Develops, tests, and refines predictive models for operational outcomes Creates data visualizations and dashboards to communicate results and recommendations Participates in cross-functional projects to support business objectives Documents findings, methods, and best practices for ongoing knowledge sharing Collaborates with cross-functional teams to define project objectives and analytical requirements Contributes to process improvements and data-driven strategies within the organization Provides support for storm restoration efforts What does it take to be a Data Scientist?

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering or relevant and experience working with data (internships or academic projects are acceptable) Familiarity with programming languages (e.g., Python, R) and data manipulation tools Basic understanding of statistical techniques or machine learning concepts Strong communication and teamwork skills Valid driver's license Preferred: Master's degree in Computer Science, Data Science, Mathematics, Statistics, Engineering or a relevant field 3+ years of professional experience in data analysis, data science, or a related field Demonstrated understanding of machine learning techniques and modeling approaches Strong analytical and problem-solving skills, with the ability to explain technical concepts to non-technical stakeholders Experience with big data technologies, cloud platforms, or distributed computing frameworks

Competitive compensation Medical, dental, and vision insurance 401(k) retirement savings plan with substantial company match Life and travel insurance Tuition assistance Wellness reimbursement program Paid holidays and vacation, This position has a career path which allows for advancement opportunities within a job series. The title and level are commensurate with experience. Pay range: $73,000 - $171,300