Xcel Energy is seeking a Data Scientist to develop specialized knowledge in specific domains to address business challenges. The role involves solving mid-level complexity problems by designing and implementing customized data solutions, leveraging statistical analysis, machine learning techniques, and data visualization tools to provide actionable insights aligned with business objectives.
Requirements
- 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.)
- Preferred: Previous experience working in the electric utility industry.
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.)
- Preferred: Previous experience working in the electric utility industry.
- Effectively communicating findings to both technical and non-technical audiences.
