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. This role is specifically focused on applying data science to HR, workforce, and people analytics, requiring experience working with employee data and related business processes. 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.

Key Responsibilities

• Familiarity with SQL and Python.
• Applied experience in strategic workforce planning, people analytics, resource planning, or related workforce discipline.
• Knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools like Posit or Power BI.
• Understanding 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.

Requirements & Tech Stack

• SQL
• Python
• Posit
• Power BI

Qualifications

• Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration.
• Other bachelor’s degrees with data science relevant certifications will be considered.
• Utility, energy, or regulated industry experience (preferred).
• Experience working with HR, workforce, or other sensitive employee data and related business processes (preferred).
• Hands-on experience using experiments or causal impact evaluation to measure the effectiveness of business programs, initiatives, or interventions (preferred).
• Familiarity with reproducible analytical workflows, version control, model validation, and data quality practices (preferred).
• Experience developing reusable statistical models, analytical tools, or data products for ongoing business use (preferred).