Associate Data Scientist (Project Management Office)

Overview

Apply data science to improve project planning, execution, and reporting in PMO.

Key Responsibilities

• collaboration
• goal translation
• data insights
• recommendations
• communication

Tasks

-Collaborate closely with more senior team members and learn from experienced colleagues. -Translate the business goals to technical expertise. -Translate data insights into actionable recommendations for decision-makers. -Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.

Requirements

• sap
• power bi
• python
• sql
• machine learning
• bachelor's

What You Bring

-Knowledge of project controls, risk management, and performance metrics. -Experience with enterprise platforms like SAP, GIS or Databricks. -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. -Knowledge of machine learning techniques and algorithms. -Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization. -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.

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About Xcel Energy

-hidden炳 Renewable energy solutions, including wind and solar power. -hidden炳 Reducing carbon emissions and increasing clean energy generation. -hidden炳 Large-scale renewable projects like the Rush Creek Wind Project in Colorado. -hidden炳 Service offerings cover residential, commercial, and industrial energy needs with an emphasis on sustainability. -hidden炳 Leader in energy efficiency programs, helping customers reduce consumption and costs. -hidden炳 Innovates in the energy sector, balancing economic and environmental goals.

Sector Specialisms