Data Scientist - People Analytics

About the Role

Key Responsibilities

• Provide thought leadership on the execution of strategic analytics initiatives, people data modeling, and experimentation to solve essential business and HR challenges.
• Focus on key issues such as predicting great hires, identifying employees at risk of leaving, and supporting employee engagement and diversity and inclusion goals.
• Conduct quantitative analytics, predictive modeling, research design, and consulting related to people research.
• Operationalize the people strategy with the analytics team to solve complex human and data questions.
• Communicate solutions that provide insights and lead to data-driven recommendations.
• Understand people-related business problems and help frame them into research questions answerable with data.
• Integrate internal and external data to help business leaders understand and act on people issues.
• Translate data and insights into visualizations and stories to inform strategy and decision-making at various organizational levels.
• Deliver customer service by translating requests into requirements and communicating technical information to non-technical audiences.
• Establish single-source data platforms to support insights and decision-making.
• Lead data-driven research to support people metrics, reporting, and advanced analytics.
• Align research priorities with business priorities and maintain a customer-focused approach.
• Leverage HR industry and people analytics trends to address practical business challenges.
• Collaborate with the People Analytics team, HR, and business stakeholders to identify initiatives and deliver sustainable solutions.
• Exercise adaptability and good judgment to support organizational agility.
• Continuously learn, listen, teach, and advance skills within people analytics and data science.
• Exude passion for the field and organization to establish effective use of data and analytics.

Requirements

• Four (4) year degree or equivalent experience in Analytics, Mathematics, Operations, Computer Science, Statistics, or a similar highly quantitative field.
• 3+ years of directly applicable experience in data modeling and data tools/languages such as Python.
• Intermediate MS Excel skills including VLOOKUP, PivotTables, charts, and data analysis.
• Intermediate proficiency in Tableau; Tableau Prep experience preferred.
• Advanced experience with programming languages such as Python and R, with a focus on data modeling.
• Experience in research design, visualization techniques, and analysis of structured and unstructured data.
• Experience with advanced statistical methods including hypothesis testing, clustering, machine learning predictions, and text mining.
• Experience modeling high-dimensional data.
• Experience with designing and implementing data pipelines for continuous insight delivery.
• Understanding of the external people analytics landscape and trends.
• Experience with people research, human capital domain, user interface, consulting, and industry-specific knowledge.
• Experience applying data privacy regulations and protecting individual privacy.
• Ability to thrive in project environments with uncertain requirements or outcomes.
• Experience managing multiple projects and priorities in a fast-paced, dynamic environment.
• Ability to positively interact with diverse team members and stakeholders.

Nice to Have

• Tableau Prep experience.
• Experience with tools and languages in data pipeline design and implementation.

Qualifications

• Four (4) year degree or equivalent experience in a quantitative field such as Analytics, Mathematics, Operations, Computer Science, or Statistics.
• 3+ years of experience in data modeling and related tools/languages.

Benefits & Perks

• Salary range of $105,600.00 - $158,400.00 based on experience and qualifications.
• Eligibility for annual bonus and potential equity awards based on performance.
• Access to healthcare benefits, a 401(k) plan with company match, short-term and long-term disability coverage, life insurance, wellbeing benefits, and paid time off.
• Employees accrue up to 120 hours of paid time off in the first year, with increased accrual after the first year.
• 6 paid holidays.