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Senior Data Scientist

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 5+ years of hands-on data science experience
  • Experience with regression, classification and NLP techniques
  • Experience in model deployment, monitoring, optimization and interpretability
  • Expertise with random forests, gradient boosting, KNN, regression and unsupervised learning
Qualification wording
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
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Posting record

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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.

Status in our records
Live
First seen by us
Jun 3, 2026155 days ago
Recorded sightings
69
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

See how this role fits your experience

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.

  • Python
  • PyTorch
  • scikit-learn
  • TensorFlow
  • XGBoost
Where the posting names them
- 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.

Your next step

Complete your application on zupee.zohorecruit.in. The employer’s form will show what is required.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,826.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

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.



Source details

View original posting ↗

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Location & working pattern

Gurgaon Kty., India

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