Principal Data Scientist- Eng
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Responsibilities
- Company-wide technical strategy:
- About you,
Requirements
- PhD in a quantitative field plus 8+ years of industry experience, or Master's degree plus 12+ years of experience in data science, machine learning, or a closely related discipline, with a demonstrated trajectory of increasing organizational scope and impact.
- Recognized technical authority in the broader data science community, with expertise across multiple AI/ML specialty areas. Track record of evaluating emerging techniques for strat
Additional Information
Why UKG: At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you. At UKG we are at the forefront of innovation leading the next wave of disruption in the Human Capital Management industry. With our unparalleled dataset - the most complete view into our customers' workforce - we are uniquely positioned to build AI-powered solutions that fundamentally change how businesses manage their people. Our Data Science team sits at the intersection of cutting-edge research and real-world impact, building models and intelligent systems at scale that serve millions of employees and managers every day. We are looking for a Principal Data Scientist (P6) who will define the org-wide data science vision and strategy, influencing executive decisions and building the capabilities to achieve long-term business outcomes. Operating at company scope, you are the authoritative technical voice for data science at UKG - setting the direction for how we invest in AI and ML capabilities, creating competitive advantage through technical excellence, and building organizational structures that outlast any single project or initiative.
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