Data Scientist - Wildfire Risk Modeling

Position SummaryA 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 ResponsibilitiesCollecting 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 and 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.Translating technical concepts into actionable insights.Balancing learning with practical application.Understanding project and team scope as it relates to broader strategic initiatives.Effectively communicating findings to both technical and non-technical audiences.Minimum RequirementsBachelor’s degree in computer science, data science, math, statistics, or related field 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 (e.g., MLOps, data platform certs).Preferred RequirementsPython, R, GeoSpatial AnalyticsStatistical programming languagesUnderstanding of machine learning modelsAs a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team.All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected dividuals with a disability who need an accommodation to apply please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.Deadline to Apply: 09/30/25EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)ACCESSIBILITY STATEMENTXcel Energy endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. #J-18808-Ljbffr

Created: 2025-09-18