Data Science Engineer-III
UKG · Noida · onsite · Posted 46d ago
Not disclosed5–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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.
About The Team
At UKG, our AI Data Science team partners with our AI and domain product and engineering organizations to design and deliver production-grade Data Science and AI capabilities embedded directly into our workforce management and human resource management solutions. We leverage large-scale workforce data and apply advanced machine learning, analytics, and cutting-edge AI techniques to build intelligent systems that power real customer outcomes.
The Role
As a Data Scientist III, you will design, develop and deliver innovative data science solutions spanning our UKG product domain. You will own projects from problem definition through production deployment to build scalable systems that drive measurable business impact. This senior IC role combines deep technical expertise with project leadership and mentorship to drive UKG's AI innovation roadmap.
The ideal candidate will work from our Noida office three days a week.
Responsibilities
Advanced Modeling & AI Development
Apply rigorous statistical and machine learning techniques to analyze billions of workforce management and HCM records and identify meaningful product and feature opportunities
Develop and deploy modern Data Science/AI solutions including generative AI applications, RAG systems, and agentic workflow
Establish evaluation frameworks to measure model quality and business impact
Production AI System Ownership
Lead the research, design, and implementation of end-to-end ML/AI pipelines in development and production environments
Own the full model lifecycle: validation, deployment, monitoring, and iteration
Ensure reliability, performance, and maintainability of AI systems in partnership with engineering teams
Engineering & Cross-Functional Collaboration
Write high-quality, modular production code and design clean data/model pipelines
Collaborate with engineering partners on CI/CD, observability, and scaling strategies
Partner with Product Managers and domain experts to translate business requirements into scalable solutions
Communicate model outcomes and insights effectively to technical and non-technical stakeholders
Mentorship & Technical Leadership
Mentor junior data scientists through code reviews, model reviews, and modeling best practices
Proactively identify opportunities to improve team capabilities and development standards
Requirements
Advanced degree (MS or PhD) in a quantitative field or equivalent industry experience
5-7+ years experience in a software product environment, with at least 3 years hands-on experience as a Data Scientist. Proven experience in building, training, and deploying ML models in a production environment.
Deep familiarity with Python (pandas, scikit-learn, PySpark), SQL/BigQuery, and version control
Hands-on experience with cloud-based ML infrastructure (AWS/GCP/Azure) and MLOps workflows
Strong understanding of statistical modeling, experimentation, and evaluation frameworks
Deep expertise in one or more ML domains such as NLP, deep learning, time-series, or clustering
Hands-on experience building services and solving problems using LLMs and generative AI techniques preferred
Ability to operate independently, think strategically, ensure execution and influence others
Proven ability to effectively communicate with all levels of the organization
Company Overview
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [HIDDEN TEXT]
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.
About The Team
At UKG, our AI Data Science team partners with our AI and domain product and engineering organizations to design and deliver production-grade Data Science and AI capabilities embedded directly into our workforce management and human resource management solutions. We leverage large-scale workforce data and apply advanced machine learning, analytics, and cutting-edge AI techniques to build intelligent systems that power real customer outcomes.
The Role
As a Data Scientist III, you will design, develop and deliver innovative data science solutions spanning our UKG product domain. You will own projects from problem definition through production deployment to build scalable systems that drive measurable business impact. This senior IC role combines deep technical expertise with project leadership and mentorship to drive UKG's AI innovation roadmap.
The ideal candidate will work from our Noida office three days a week.
Responsibilities
Advanced Modeling & AI Development
Apply rigorous statistical and machine learning techniques to analyze billions of workforce management and HCM records and identify meaningful product and feature opportunities
Develop and deploy modern Data Science/AI solutions including generative AI applications, RAG systems, and agentic workflow
Establish evaluation frameworks to measure model quality and business impact
Production AI System Ownership
Lead the research, design, and implementation of end-to-end ML/AI pipelines in development and production environments
Own the full model lifecycle: validation, deployment, monitoring, and iteration
Ensure reliability, performance, and maintainability of AI systems in partnership with engineering teams
Engineering & Cross-Functional Collaboration
Write high-quality, modular production code and design clean data/model pipelines
Collaborate with engineering partners on CI/CD, observability, and scaling strategies
Partner with Product Managers and domain experts to translate business requirements into scalable solutions
Communicate model outcomes and insights effectively to technical and non-technical stakeholders
Mentorship & Technical Leadership
Mentor junior data scientists through code reviews, model reviews, and modeling best practices
Proactively identify opportunities to improve team capabilities and development standards
Requirements
Advanced degree (MS or PhD) in a quantitative field or equivalent industry experience
5-7+ years experience in a software product environment, with at least 3 years hands-on experience as a Data Scientist. Proven experience in building, training, and deploying ML models in a production environment.
Deep familiarity with Python (pandas, scikit-learn, PySpark), SQL/BigQuery, and version control
Hands-on experience with cloud-based ML infrastructure (AWS/GCP/Azure) and MLOps workflows
Strong understanding of statistical modeling, experimentation, and evaluation frameworks
Deep expertise in one or more ML domains such as NLP, deep learning, time-series, or clustering
Hands-on experience building services and solving problems using LLMs and generative AI techniques preferred
Ability to operate independently, think strategically, ensure execution and influence others
Proven ability to effectively communicate with all levels of the organization
Company Overview
UKG is the Workforce Operating Platform that puts workforce understanding to work. With the world's largest collection of workforce insights, and people-first AI, our ability to reveal unseen ways to build trust, amplify productivity, and empower talent, is unmatched. It's this expertise that equips our customers with the intelligence to solve any challenge in any industry — because great organizations know their workforce is their competitive edge. Learn more at ukg.com.
UKG is proud to be an equal opportunity employer and is committed to promoting diversity and inclusion in the workplace, including the recruitment process.
Disability Accommodation in the Application and Interview Process
For individuals with disabilities that need additional assistance at any point in the application and interview process, please email [HIDDEN TEXT]
Sourced from foundit
Skills
MLOpsclusteringgoogle cloud platformamazon web servicesNatural Language ProcessingTime SeriesbigqueryLarge Language Models (LLMs)Scikit-LearnPysparkPythonSQLPandasDeep LearningMicrosoft AzureGenerative Ai