A masters degree in engineering Statistics Physics or a related discipline along with a minimum of 4
years of analytical experience - including at least 2 years in core data science - is required.
Good understanding of common machine learning algorithms including regression classification neural
networks etc. with experience in real world applications of these algorithms
Experience with data and feature engineering to support various analytical approaches
Strong database experience with advanced SQL skills
Ability to work with data on distributed platforms (like Hadoop) using tools such as Hive
High proficiency in using tools like R and Python for data science activities Proficiency
with data visualization tools such as Tableau R Shiny MicroStrategy etc. Strong
understanding of data infrastructure (cloud and non-cloud) Research publications are a
plus but not required
Knowledge of GenAI models/Tools are a plus but not required
A masters degree in engineering Statistics Physics or a related discipline along with a minimum of 4 years of analytical experience - including at least 2 years in core data science - is required. Good understanding of common machine learning algorithms including regression classification ne...
A masters degree in engineering Statistics Physics or a related discipline along with a minimum of 4
years of analytical experience - including at least 2 years in core data science - is required.
Good understanding of common machine learning algorithms including regression classification neural
networks etc. with experience in real world applications of these algorithms
Experience with data and feature engineering to support various analytical approaches
Strong database experience with advanced SQL skills
Ability to work with data on distributed platforms (like Hadoop) using tools such as Hive
High proficiency in using tools like R and Python for data science activities Proficiency
with data visualization tools such as Tableau R Shiny MicroStrategy etc. Strong
understanding of data infrastructure (cloud and non-cloud) Research publications are a
plus but not required
Knowledge of GenAI models/Tools are a plus but not required
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