About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Utilities.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring an Associate Data Scientist focused on workforce and people analytics. You will work with HR and employee datasets to build analyses and predictive models that inform workforce planning, resource allocation, and people programs.

• Work with large employee and HR datasets to clean, transform, and validate data.
• Use SQL and Python for data extraction, feature engineering, and modeling.
• Build and evaluate statistical and machine learning models to support workforce planning and people analytics.
• Create interactive visualizations and dashboards using Power BI or Posit to communicate insights.
• Translate business questions into data-driven solutions and present recommendations to non-technical stakeholders.
• Automate routine data collection and reporting processes to improve efficiency and data quality.
• Collaborate with HR partners and senior analytics team members to operationalize models and analytics products.
• Follow reproducible workflows, version control, and basic model validation practices.

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Minimum Qualifications

• Bachelor’s degree in computer science, data science, statistics, mathematics, or a related analytical field (or equivalent certifications).
• Hands-on experience with SQL and Python for data analysis.
• Applied experience in strategic workforce planning, people analytics, resource planning, or a related workforce discipline.
• Ability to communicate analytical findings clearly to business users and stakeholders.

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Preferred Qualifications

• Experience in the utilities, energy, or other regulated industries.
• Prior work with HR or sensitive employee data and familiarity with privacy considerations.
• Familiarity with experimental design or causal impact evaluation methods.
• Experience creating reusable analytical tools, models, or data products.
• Understanding of reproducible analytical workflows and model validation best practices.

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Work Location & Schedule

• This role supports a hybrid work model. Confidential Client commonly expects collaboration onsite approximately three days per week (for example, Tuesday–Thursday); actual schedules vary by team and business needs.
• Location: Minneapolis, MN (role is tied to the Minneapolis area per the job posting).

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Compensation & Benefits

• Anticipated starting base pay: $84,900 to $120,567 per year.
• Benefits may include incentive pay, medical/pharmacy, dental, vision, life insurance, flexible spending accounts, 401(k)/pension options, paid time off, parental leave, tuition reimbursement, and other employee programs. Benefit plans are subject to change.

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Reasonable Accommodations

Careertakes and our client provide reasonable accommodations for applicants with disabilities throughout the application process. If you need an accommodation, please notify the recruiter or the hiring team.

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Keywords & Skills

• SQL, Python
• Workforce analytics, people analytics, strategic workforce planning
• Power BI, Posit
• Statistical modeling, machine learning
• Data visualization, model validation

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.