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Xcel Energy is looking for a Data Scientist to focus on developing specialized knowledge in particular domains to effectively address business specific challenges by solving mid-level complexity business problems by designing and implementing customized data solutions.

Requirements

• Collecting and cleaning data from various sources and ensuring data quality.
• Manipulating and transforming data using tools like SQL, Python, and R.
• Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.
• Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.
• Develop an understanding of delivering data science models in a production environment.
• Creating impactful visualizations to communicate findings effectively.
• Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.

Responsibilities

• Collecting and cleaning data from various sources and ensuring data quality.
• Manipulating and transforming data using tools like SQL, Python, and R.
• Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.
• Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.
• Develop an understanding of delivering data science models in a production environment.
• Creating impactful visualizations to communicate findings effectively.
• Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.

Other

• Bachelor’s degree in computer science, data science, math, statistics, math, or related with an analytical concentration.
• A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D).
• Relevant certifications can be considered in lieu of a post graduate degree in combination with years of experience. (i.e. MLOps, data platform certs, etc.)
• Working knowledge of environmental reporting and regulations.
• Work experience related to electric and/or natural gas utility operations.