People Analytics Data Scientist

Avalara•UNAVAILABLE, UNAVAILABLE

2h•Remote

About The Position

This People Analytics Data Scientist is a senior role that will lead the development of advanced analytics and data science solutions, applying statistical modeling, experimentation, and predictive methods to shape Avalara's workforce strategy at scale. You'll translate complex people questions into robust analyses using tools such as R, Python, SQL, and modern analytics platforms. You'll partner with senior People, Finance, and business leaders to drive executive decision-making. What differentiates this role at Avalara is true end-to-end ownership—from data foundations and methodology through insight delivery and adoption—within a global SaaS environment that values rigorous, evidence-based approaches. This role reports to the VP, People Partners and Head of People Analytics. This is a remote position in the United States.

Requirements

Experience with design and execution of advanced analytics projects, including experimentation, causal inference, and machine learning, from problem definition through delivery.
Proficiency in Python and SQL, with hands-on experience building, validating, and iterating on statistical or ML models using large, complex datasets.
5+ years of experience applying rigorous analytical methods (e.g., experimental design, quasi-experimental approaches, predictive modeling) to inform business or people-related decisions.
Experience delivering multiple high-impact analytical outputs in parallel, balancing speed, accuracy, and stakeholder needs.
Experience communicating complex analytical findings to senior, non-technical stakeholders and influencing decisions with data.
Bachelor's degree or higher in a quantitative field such as statistics, economics, data science, computer science, or equivalent practical experience.

Nice To Haves

Experience using AI and AI-related technologies, ready to thrive here.
Apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.
Grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.

Responsibilities

Design and implement rigorous analyses including the use of experimental design, causal inference analyses, and machine learning models using R, Python and SQL.
Work directly with large, complex HR and business datasets to build, validate, and refine predictive and explanatory models that answer critical workforce questions.
Data preparation, feature engineering, model evaluation, and translating results into clear, applicable insights for partners.
Collaborate with stakeholders to refine hypotheses, ensure analytical rigor, and help use data-driven decisions.