Bangalore, Karnataka, India
Information Technology
Full-Time
Celsior
Overview
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.
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