Job Description

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

Essential Job Duties

As a Staff Data Scientist, you will be a senior technical leader for machine learning and advanced analytics on the Data & Business Intelligence team. You will own our production ML and predictive analytics portfolio end to end—architecting new solutions, hardening existing models, and setting the technical standards the rest of the team builds on. You'll partner closely with BI Engineers, Data Engineers, Analysts, and divisional operational stakeholders to translate business problems into predictive and prescriptive solutions that directly shape go-to-market, operational, and product decisions across BambooHR.

You will:

• Architect, build, and productionize ML models and advanced analytical systems that set the standard for data science and MLOps at BambooHR.
• Take ownership of part of our existing portfolio of predictive and prescriptive models—maintaining, monitoring, and improving them—while identifying and delivering the next generation of high-impact use cases.
• Collaborate deeply with BI Engineers and Data Engineers to embed ML and advanced analytical capabilities into our data platform and go-to-market motions.
• Establish reusable methodologies, decision-making frameworks, and MLOps practices that become standard across Data Engineering, BI Engineering, and the Knowledge Layer system architecture.
• Mentor and raise the technical bar for data scientists, analysts, and engineers across the team through design reviews, pairing, and knowledge sharing.
• Stay current on emerging techniques—including agentic and GenAI-powered analytics—and evaluate and recommend new tools and platforms that improve the team's capability and efficiency.
• Forge strategic partnerships across the organization to keep the technical vision aligned with evolving business priorities.

What You Need to Get the Job Done

• 10+ for Staff of experience in Data Science, ML engineering, or advanced analytical modeling, with a track record of shipping models that solved real business problems in production.
• Demonstrated expertise in designing and implementing complex ML and advanced analytical systems at scale, including ownership of models through their full lifecycle.
• Strong proficiency in Python and SQL, and hands-on experience with modern ML frameworks and Lakehouse or cloud data platforms (e.g., Databricks or similar).
• Deep understanding of MLOps best practices—experiment tracking, deployment, monitoring, and retraining—and experience optimizing ML systems for production.
• Proven ability to develop novel algorithms and approaches for ambiguous, complex problems, and to make pragmatic complexity trade-offs.
• Experience leading cross-functional initiatives and influencing without authority across engineering, analytics, and business teams.
• Excellent communication skills, with the ability to explain complex technical concepts to executive and non-technical audiences.
• Bachelor's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field, or equivalent practical experience.

What Will Make Us REALLY Love You

• Master's or doctoral degree in a related quantitative field.
• Prior experience in the SaaS industry
• Experience with agentic analytics, LLM-powered applications, or semantic/knowledge-layer architectures.

What You'll Love About Us