A Data Scientist will focus on developing specialized knowledge in particular domains to effectively address business specific challenges. Will work on solving mid-level complexity business problems by designing and implementing customized data solutions. This involves leveraging statistical analysis, machine learning techniques, and data visualization tools to create models and algorithms that provide actionable insights. By collaborating with other team members and stakeholders, they ensure that the solutions are aligned with business objectives and can be integrated into existing processes. Additionally, they will continuously refine their skills and stay updated with the latest advancements in data science to enhance their problem-solving capabilities and contribute to the organization's overall data strategy.
Essential Responsibilities
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Collecting and cleaning data from various sources and ensuring data quality.
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Manipulating and transforming data using tools like SQL, Python, and R.
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Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.
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Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.
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Develop an understanding of delivering data science models in a production environment.
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Creating impactful visualizations to communicate findings effectively.
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Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.
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Translating technical concepts into actionable insights.
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Balancing learning with practical application.
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Understanding project and team scope as it relates to broader strategic initiatives.
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Effectively communicating findings to both technical and non-technical audiences.
Minimum Requirements
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Bachelor's degree in computer science, data science, math, statistics, math, or related with an analytical concentration.
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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 Requirements
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Working knowledge of environmental reporting and regulations.
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Work experience related to electric and/or natural gas utility operations.
Xcel Energy, Inc.
414 Nicollet Mall
Minneapolis
Minnesota United States
www.xcelenergy.com
