Associate Data Scientist - Workforce Analytics
About The Position
An Associate Data Scientist handles and analyzes large datasets to uncover insights, with a focus on HR, workforce, and people analytics. The role applies statistical methods, machine learning algorithms, and data visualization to interpret complex data and support data-driven decision-making. The Associate Data Scientist collaborates with cross-functional teams to translate findings into actionable business strategies, may assist with predictive models and automated data collection, and helps ensure data quality and integrity. The position also offers foundational experience for progression into more advanced data science roles. Xcel Energy supports a hybrid work model. Many roles are expected to work onsite three days per week, Tuesday through Thursday, but expectations vary based on role, team, and business needs.
Requirements
- Familiarity with SQL and Python for data analysis, machine learning, and visualization.
- Applied experience in strategic workforce planning, people analytics, resource planning, or a related workforce discipline.
- Knowledge of machine learning techniques and algorithms.
- Experience with data visualization tools such as Posit or Power BI.
- Understanding of managing and analyzing large datasets, including using statistical methods and machine learning algorithms to derive actionable insights.
- Ability to translate business goals into technical expertise and data insights into actionable recommendations.
- Ability to communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.
- Bachelor’s degree in computer science, data science, statistics, mathematics, or a related analytical concentration. Other bachelor’s degrees with data science-relevant certifications will be considered.
Nice To Haves
- Utility, energy, or regulated-industry experience.
- Experience working with HR, workforce, or other sensitive employee data and related business processes.
- 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.
Responsibilities
- Handle and analyze large datasets to uncover valuable insights.
- Apply statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data.
- Collaborate with cross-functional teams to translate data findings into actionable business strategies and support data-driven decision-making.
- Assist in developing predictive models and automating data collection processes.
- Help ensure data quality and integrity.
- Translate business goals into technical work and communicate data insights as actionable recommendations to decision-makers.
- Collaborate with senior team members, learn from experienced colleagues, and communicate findings to non-technical stakeholders and business users.
Benefits
- Annual Incentive Program
- Medical/Pharmacy Plan
- Dental
- Vision
- Life Insurance
- Dependent Care Flexible Spending Account
- Health Care Flexible Spending Account
- Health Savings Account (if enrolled in an eligible health plan)
- Limited-Purpose FSA (if enrolled in an eligible health plan and HSA)
- Transportation Reimbursement Account
- Short-term disability
- Long-term disability
- Employee Assistance Program
- Fitness Center Reimbursement (if enrolled in an eligible health plan)
- Tuition reimbursement
- Transit programs
- Employee recognition program
- Pension
- 401(k) plan
- Paid time off
- Holidays
- Volunteer Paid Time Off
- Parental Leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
