Associate Data Scientist - Workforce Analytics

About the role

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. As 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.

Responsibilities

• Familiar in working with the two primary languages - SQL and Python.
• 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, including using statistical methods and machine learning algorithms to derive actionable insights.
• Translate business goals to technical expertise.
• 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.
• Assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity.

Requirements

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.

Qualifications

• Utility, energy, or regulated industry experience.
• Experience working with HR, workforce, or other sensitive employee data and related business processes.
• Applied experience in strategic workforce planning, people analytics, resource planning, or related workforce discipline.
• Hands-on experience using experiments or causal impact evaluation to measure the effectiveness of business programs, initiatives, or interventions.
• Familiarity with reproducible analytical workflows, version control, model validation, and data quality practices.
• Experience developing reusable statistical models, analytical tools, or data products for ongoing business use.

Skills

Proficiency in SQL and Python; knowledge of machine learning techniques and algorithms; experience with data visualization tools such as Posit or Power BI; understanding of statistical methods for large dataset analysis.

Benefits

• Annual Incentive Program
• Medical/Pharmacy Plan
• Dental
• Vision
• Life Insurance
• Dependent Care Reimbursement Account
• Health Care Reimbursement Account
• Health Savings Account (HSA) (if enrolled in eligible health plan)
• Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
• Transportation Reimbursement Account
• Short-term disability (STD)
• Long-term disability (LTD)
• Employee Assistance Program (EAP)
• Fitness Center Reimbursement (if enrolled in eligible health plan)
• Tuition reimbursement
• Transit programs
• Employee recognition program
• Pension
• 401(k) plan
• Paid time off (PTO)
• Holidays
• Volunteer Paid Time Off (VPTO)
• Parental Leave

Pay

The anticipated starting base pay for this position is: $84,900.00 to $120,567.