Staff Data Scientist

CGWS - COME GROW WITH US

Staff Data Scientist leading production ML and advanced analytics for BambooHR’s people intelligence HR platform. Architecting models, MLOps practices, and predictive solutions shaping business decisions.

Posted 8/19/2026full-timeUtah • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and productionizing machine learning models and advanced analytical systems, with a strong focus on MLOps best practices and cross-functional collaboration. Proven ability to mentor teams and deliver impactful machine learning use cases that align with business priorities.

Highest-signal resume keywords

Machine Learning EngineeringMLOps Best PracticesPython ProficiencySQL ProficiencyAdvanced Analytical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceModel Lifecycle ManagementAlgorithm DevelopmentExperiment TrackingDeploymentMonitoringRetrainingCloud Data PlatformsLakehouse Architecture

Soft Skills

Excellent CommunicationMentoringCross-Functional Leadership

Tools & Technologies

DatabricksML FrameworksAdvanced Analytics Tools

Industry Keywords

Predictive ModelingPrescriptive ModelingBusiness AnalyticsData EngineeringBI Engineering

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Architect, build, and productionize machine learning models and advanced analytical systems
Own part of the predictive and prescriptive model portfolio, including maintenance, monitoring, and improvement
Identify and deliver high-impact machine learning use cases
Collaborate with BI Engineers and Data Engineers to embed ML and advanced analytics into the data platform and go-to-market motions
Establish reusable methodologies, decision-making frameworks, and MLOps practices across engineering and analytics systems
Mentor data scientists, analysts, and engineers through design reviews, pairing, and knowledge sharing
Evaluate emerging techniques, including agentic and GenAI-powered analytics, and recommend tools and platforms
Build strategic partnerships across the organization to align technical vision with business priorities

Requirements

What you’ll need

10+ years 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
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
Hands-on experience with modern ML frameworks and Lakehouse or cloud data platforms (e.g., Databricks or similar)
Deep understanding of MLOps best practices, including experiment tracking, deployment, monitoring, and retraining
Experience optimizing ML systems for production
Ability to develop novel algorithms and approaches for ambiguous, complex problems
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
Employment contingent on passing background and credit checks

Benefits

Comp & perks

Comprehensive health, life, and disability insurance
4 weeks of vacation
12 company holidays
Parental leave
Volunteer time off
401k plans with up to 6% company match
$2000 Paid-Paid Vacation bonus
EAP through Headspace
Competitive benefits
Professional development
Flexible work arrangements to thrive both in and outside the office