Lead Data Scientist- Lowell Hybrid

Company Overview

With 80,000 customers across 150 countries, UKG is the largest U.S.-based private software company in the world. And we're only getting started. Ready to bring your bold ideas and collaborative mindset to an organization that still has so much more to build and achieve? Read on.

At UKG, you get more than just a job. You get to work with purpose. Our team of U Krewers are on a mission to inspire every organization to become a great place to work through our award-winning HR technology built for all.

Here, we know that you're more than your work. That's why our benefits help you thrive personally and professionally, from wellness programs and tuition reimbursement to U Choose - a customizable expense reimbursement program that can be used for more than 200+ needs that best suit you and your family, from student loan repayment, to childcare, to pet insurance. Our inclusive culture, active and engaged employee resource groups, and caring leaders value every voice and support you in doing the best work of your career. If you're passionate about our purpose - people -then we can't wait to support whatever gives you purpose. We're united by purpose, inspired by you.

As a Lead Data Scientist in the Customer Value Advisory organization, you'll be the primary driver of our data initiatives, ensuring that UKG remains at the forefront of analytics innovation in WFM and HCM. In this role, you will:
• Design and build data pipelines and predictive models using Python, SQL (BigQuery), and the latest AI models with Google Cloud Platform.
• Engineer new data sources by collaborating cross-functionally to identify, ingest, and unify multiple datasets, unlocking advanced analytics and deep customer insights.
• Create and refine machine learning and AI models that power real-world applications such as customer churn prediction, ROI modeling, and market benchmarking.
• Lead projects end-to-end by defining objectives, managing timelines, and delivering robust solutions that demonstrate tangible value for our customers and internal stakeholders.
• Mentor and guide other data scientists, sharing best practices in coding, model development, and stakeholder engagement.
• Collaborate and consult with Value Consultants, Sales Engineers, and other Go-to-Market teams to ensure our data products accurately showcase the business value of UKG's offerings.
• Provide expert support for strategic and ad hoc deal requests, including high-visibility presentations and direct or indirect customer-facing engagements.
Technical & Business Balance: Comfortable building technical solutions (writing code, querying databases) and interpreting the results for a business audience. You can think through the technical details while keeping in mind the bigger picture and business value.

About You
Basic Qualifications
• Undergraduate degree in a technical or quantitative field (e.g., Engineering, Computer Science, Mathematics, Physics) or equivalent experience.
• 5+ years proven experience in data engineering, data science, or a related discipline, with a track record of building, deploying, and maintaining analytical pipelines and predictive models.
• 3+ years proven Proficiency in SQL and Python for data manipulation, transformation, modeling.

Preferred Qualifications
• Experience with cloud platforms such as Google Cloud Platform (GCP) (or AWS, Azure, etc.) for data warehousing, model deployment, or analytics at scale.
• Familiarity with advanced AI/ML concepts, including NLP or generative AI.
• Exposure to real-world data projects (SaaS, HR, or workforce management environments is a plus).
• Leadership or mentorship background, guiding junior data scientists on project deliverables and professional development.
• Strong communication skills for explaining technical concepts and analytical insights to both business and technical stakeholders.
• Passion for WFM/HCM and a desire to leverage data science to drive measurable business outcomes.