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Systems Analyst - Data ScientistConsolidated Edison Company of New York • United States
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Systems Analyst - Data Scientist

Consolidated Edison Company of New York
  • US
    United States
  • US
    United States
Jetzt Bewerben

Über

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 System Analyst, 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 Core Responsibilities
Use the Company's AI platforms to perform data analyses and build predictive and machine learning models that support business insights, under the guidance of senior team members Clean, transform, and explore datasets to prepare them for analysis and modeling Contribute to the development and deployment of data products and AI solutions on the Company's AI Platform, working alongside platform team members Partner with stakeholders and cross-functional teams to understand business needs and translate them into analytical tasks Document methodology, code, and results so work is reproducible and can be reviewed by the team Present analytical findings clearly to technical and non-technical audiences, adapting the level of detail to the listeners Collaborate with subject matter experts and other data scientists to develop deliverables and refine analytical approaches Apply and help reinforce the team's analytics and AI best practices in daily work Qualifications Required Education/Experience
Bachelor's Degree and a minimum of 2 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 Preferred Education/Experience
Bachelor's Degree in Computer Science, Engineering, Math, Business, or technology-centric field and a minimum of 2 years relevant full-time work experience Relevant Work Experience
Experience working with data performing data analysis, developing predictive models, and presenting results, required Knowledge of Python/R/JavaScript and other scripting languages, required Knowledge of SQL, required Experience working with data visualization tools such as Power BI, required Experience working with data platforms such as Databricks, Google Cloud Platform and C3.ai, required Experience in utility environment or energy related fields, preferred Skills and Abilities
Strong written and verbal communication skills Effective interpersonal skills Well organized, detail oriented and flexible to handle multiple assignments Licenses and Certifications
Driver's License Required Physical Demands
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 Additional Physical Demands
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
  • United States

Sprachkenntnisse

  • English
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