Associate Data Scientist (Project Management Office)

Xcel Energy•Denver, CO

11h

About The Position

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for. Position Summary The Associate Data Scientist will support the Project Management Office by applying data science techniques to improve project planning, execution, and reporting. This role is ideal for professionals with strong analytical skills and a passion for transforming data into actionable insights that enhance operational efficiency and strategic decision-making. Work closely with project managers, analysts, and IT teams to understand data needs. Translate complex data findings into clear, actionable insights for non-technical audiences. Contribute to the standardization of data practices across the PMO. Assist in documenting lessons learned and best practices for data-driven project management. An Associate Data Scientist will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.

Requirements

Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.
Knowledge of machine learning techniques and algorithms.
Experience with data visualization tools like Posit or Power BI.
Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.
Translate the business goals to technical expertise.
Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required.
Other bachelor’s degrees with data science relevant certifications will be considered.

Nice To Haves

Experience with enterprise platforms like SAP, GIS or Databricks.
Knowledge of project controls, risk management, and performance metrics.

Responsibilities

Work closely with project managers, analysts, and IT teams to understand data needs.
Translate complex data findings into clear, actionable insights for non-technical audiences.
Contribute to the standardization of data practices across the PMO.
Assist in documenting lessons learned and best practices for data-driven project management.
Translate data insights into actionable recommendations for decision-makers.
Collaborate closely with more senior team members and learn from experienced colleagues.
Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.