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 Avalaras workforce strategy at scale. Youll translate complex people questions into robust analyses using tools such as R, Python, SQL, and modern analytics platforms, partnering 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 Head of People Analytics and is a fully remote or hybrid position based in either our Seattle, WA or Durham, NC offices.
In this role, you will design and execute rigorous analyses including the use of experimental design, causal inference analyses, and machine learning models using R, Python, and SQL. You will work directly with large, complex HR and business datasets to build, validate, and iterate on predictive and explanatory models that answer critical workforce questions. Your work will include data preparation, feature engineering, model evaluation, and translating results into clear, actionable insights for partners. You will also collaborate closely with stakeholders to refine hypotheses, ensure analytical rigor, and support the adoption of data-driven decisions.
• Demonstrated ability to independently design and execute advanced analytics projects, including experimentation, causal inference, and machine learning, from problem definition through delivery. • Strong proficiency in Python and SQL, with hands-on experience building, validating, and iterating on statistical or ML models using large, complex datasets. • Experience applying rigorous analytical methods, including experimental design, quasi-experimental approaches, predictive modeling, to inform business or people-related decisions. • Proven track record of 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. • Bachelors degree or higher in a quantitative field such as statistics, economics, data science, computer science, or equivalent practical experience.
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.
Total Rewards
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.
Health & Wellness
Benefits vary by location but generally include private medical, life, and disability insurance.
Inclusive Culture and Diversity
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.
We are defining the relationship between tax and tech. Weve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - were a billion-dollar business - and were not slowing down until we achieve our mission - to be part of every transaction in the world.
We are bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture weve designed, that empowers our people to win. Weve been different from day one. Join us, and your career will be too.
We are an Equal Opportunity Employer. Supporting diversity and inclusion is a cornerstone of our company - we dont want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.