Noida, UP, IN
Live, first seen by us 70 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Design and deploy generative AI applications, RAG systems and agentic workflows
Own the full model lifecycle: validation, deployment, monitoring and iteration
Analyze billions of workforce records to find product and feature opportunities
Build evaluation frameworks to measure model quality and business impact
Mentor junior data scientists through code and model reviews
Develop and deploy modern Data Science/AI solutions including generative AI applications, RAG systems, and agentic workflow
Own the full model lifecycle: validation, deployment, monitoring, and iteration
Apply rigorous statistical and machine learning techniques to analyze billions of workforce management and HCM records and identify meaningful product and feature opportunities
Establish evaluation frameworks to measure model quality and business impact
Mentor junior data scientists through code reviews, model reviews, and modeling best practices
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
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.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 70
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past UKG’s usual: its jobs come down by about day 22.
From 11,783 similar postings that came down, and 49 of UKG’s. Coming down is not always a hire.
13 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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
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
Complete your application on apply.ukg.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Noida, UP, IN
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.