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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.
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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3 roles aligned with this opportunity
View Job Details
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2026-07-07
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View Job Details
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Unity Digital Twin Developer
2026-07-04
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Product Support Manager, Google Pay India
2026-07-04
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