About The Position
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, that gives the most complete view into our customers' most valuable assets--their human assets, we are building groundbreaking artificial intelligence that is changing the way we work. Employing the latest advancements in data science and AI, you will impact millions of UKG customers by unlocking the opportunities to help employers create a more effective and efficient workforce, and employees work and live more satisfied, enriched, and rewarding lives. We are looking for seasoned data scientists with a strong mathematical foundation, experience building AI-based solutions on real world data, and a pioneering mindset to join the team and help deliver new AI innovation into our platform.
Requirements
- Education and experience in a quantitative field. PhD plus 3 years of experience, or master's degree plus 5 years of experience.
- Deep expertise in at least 1-2 machine learning or AI subfields, including but not limited to generative AI, Agentic AI, LLMs and Foundation Models, regression, classification, deep learning, time-series analysis, clustering, NLP, transfer learning, GenAI, etc.
- Strong ability to visualize data, communicate meaningful business insights, and present complex findings to technical and non-technical audiences.
- Proven track record of delivering impactful AI solutions that drive business value, with demonstrated end-to-end ownership from problem framing through production deployment.
- Significant experience designing, developing, and deploying AI solutions in production environments, with familiarity in cloud-based frameworks like Vertex AI, and databases like BigQuery, or equivalent.
- Experience with big data tools, databases, and scalable architectures (e.g., SQL, Spark, Hadoop). Familiarity with data quality and governance practices at scale.
- Advanced programming skills in Python or another scripting language, with expertise in tools and libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
- Strong decision-making skills, making informed choices through appropriate consultation, understanding implications across team and downstream systems.
- Commitment to continuous learning and pushing the boundaries of AI and machine learning innovation. Proactively seeks feedback and maintains a growth mindset.
Responsibilities
- Work with domain experts, perform data studies and analysis on billions of records from our one-of-a-kind dataset to identify meaningful business opportunities; translate ambiguous business problems into well-defined computational tasks.
- Apply statistics, machine learning, and a variety of other techniques to analyze the data, generate models, and prototype new AI solutions. Define experimentation strategy and validate solutions rigorously before deployment.
- Build production quality prototypes and collaborate with engineering resources to implement the solution in a scalable cloud framework like Google's Vertex AI. Design multi-component systems with appropriate monitoring, canary deployments, and rollback capabilities.
- Thrive in different working environments — both independent, self-driven research and development, and collaborative, team-driven projects. Navigate ambiguity by focusing on purpose and help the team adapt to changing priorities.
- Lead new initiatives that will bring business value to UKG, mentor others, and proactively identify team-wide improvement opportunities.
- Technical leadership: Serve as the technical lead on data science projects, owning end-to-end delivery from problem framing through solution deployment and driving technical decisions across the project lifecycle. Define technical roadmaps for multi-phase projects, anticipate risks and tradeoffs, and drive stakeholder alignment. Take responsibility for team-level failures and own operational excellence.
- Internal & external communication: Communicate project progress, technical approaches, and results effectively to internal teams (product, engineering, leadership), connecting DS work to business outcomes in stakeholder language. Engage with external stakeholders (customers, partners) as needed.
- Knowledge sharing & team development: Foster a culture of knowledge sharing by conducting technical reviews, leading brown-bag sessions, and establishing best practices for the data science team. Model excellence and integrity; identify growth opportunities for teammates. Actively participate in hiring.
- Data & code stewardship: Establish team-wide standards for code quality, automation, testing, and documentation. Ensure data quality and governance practices are applied across all data systems and pipelines.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
