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Staff Data Scientist

United StatesUnited StatesHybridlead
OtherStaff Data Scientist
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Quick Summary

Overview

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally,

Technical Tools
OtherStaff Data Scientist

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. 

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.

Responsibilities

~1 min read
  • 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.
  • 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.
  • A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
  • Comprehensive health, life, and disability insurance 
  • Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
  • 401k plans with up to 6% company match
  • $2000 Paid-Paid Vacation bonus
  • EAP through Headspace
  • Check out all our benefits that benefit you 

 

At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. 

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. 

What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

Review

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

Requirements

~1 min read

Location & Eligibility

Where is the job
United States
Hybrid within the country
Who can apply
US

Listing Details

Posted
August 19, 2026
First seen
August 19, 2026
Last seen
August 19, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
62%
Scored at
August 19, 2026

Signal breakdown

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Staff Data Scientist