Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,198 similar postings that came down. Coming down is not always a hire.
Gurgaon Kty., India
Open 5 months, first seen by us 155 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, develop, test and deploy ML models using multiple signal sources
Identify data science applications with business stakeholders
Build project proposals and implement ML projects in ranking, embeddings and recommendations
Design experiments and model implementations with software engineering teams
Explain technical details and outcomes to a business audience
designing, developing, testing and deploying ML models that can leverage multiple signal sources
Work closely with the business stakeholders to identify the potential Data science applications
Contribute by doing opportunity analysis, building project proposals, designing and
Collaborate with software engineering teams to design experiments, model implementations and new feature creation
Clearly communicate technical details, strategies and outcomes to a business audience
5+ years of hands-on experience in data science
using techniques including but not limited to regression, classification, NLP etc.
Previous experience in model deployment, model monitoring, optimization and model interpretability.
Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
Open 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 155
Up longer than most. Similar jobs usually come down between day 7 and day 56.
From 10,198 similar postings that came down. Coming down is not always a hire.
1 open job
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.
- Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc. - Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow - Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
Complete your application on zupee.zohorecruit.in. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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.
Role: Senior Data Scientist
Responsible for designing, developing, testing and deploying ML models that can leverage multiple signal sources, to build a personalized user experience
Work closely with the business stakeholders to identify the potential Data science applications
Contribute by doing opportunity analysis, building project proposals, designing and
implementation of ML projects, in the areas of Ranking, Embeddings, Recommendation engines etc
Collaborate with software engineering teams to design experiments, model implementations and new feature creation
Clearly communicate technical details, strategies and outcomes to a business audience
Requirements:
5+ years of hands-on experience in data science using techniques including but not limited to regression, classification, NLP etc.
Previous experience in model deployment, model monitoring, optimization and model interpretability.
Expertise with Random forests, Gradient boosting, KNN, Regression and unsupervised learning algorithms
Experience in using Neural Networks like ANN, RNN, Reinforcement Learning or Deep Learning etc.
Solid understanding of Python and common machine learning frameworks such as XGBoost, scikit-learn, PyTorch/Tensorflow
Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
Technology-driven mindset, up-to-date with digital and technology literature, trends.
S/he must have knowledge of Experimentation and Basic Statistics
S/he must have experience in Predictive Analytics.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Gurgaon Kty., India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.