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Celsior

Data Scientist

Celsior
India · Full-time · Entry
Requirements

  • Degree or equivalent in a statistical or mathematical subject.
  • Good understanding of statistics and mathematical methodologies used - especially forecasting, regression, linear models, time series, hypothesis tests, and optimisation.
  • Ability to prototype solutions using Python and Spark to facilitate the development and testing of algorithms on large data sets.
  • Good understanding of machine learning techniques, with applications to classification, prediction, and clustering.
  • Ability to apply and extend experimental design methodology to conduct rigorous measurement of treatment effects.
  • Good working knowledge of databases, including SQL, relational, and non-relational data models.
  • Experience of using the following algorithms at scale: ANOVA, linear models with regularization, clustering, random forests, xgboost.
  • Research the latest machine learning approaches.
  • Good grasp of Object-Oriented Programming, Stakeholder Management.
  • Ability to quickly learn open-source statistics and machine learning packages - Pandas, SciPy, Scikit - learning, Tensorflow.
  • Experience in developing solutions related to Market Mix Modelling, Causal AI, and Generative AI.
  • Experience with large language models (LLMs) and transformers.

This job was posted by Kalaiyarasi Satheeshkumar from Celsior Technologies.

Key Skills

Ranked by relevance

machine learning python pandas scipy spark sql ai
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Posted
Jun 29, 2025
Type
Full-time
Level
Entry
Location
Gurgaon
Company
Celsior

Industries

Software Development IT Services IT Consulting Technology Information Internet

Categories

Information Technology Analyst Engineering

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