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Director & SM - Data Science

16.00 to 18.00 Years   Delhi   17 May, 2023
Arminus
Job LocationDelhi
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Director s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informaticsRequired Skills: Successful candidates will have demonstrated the following skills and characteristics: Must have: Experience in designing, building and deploying ML models in cloud environments and ability to converse with client teams on cloud technologies.(At least 1 of the 3: Azure ML, GCP s Vertex AI platform, AWS SageMaker)Must Have 6 out of below 8 skills Solid knowledge and experience of supervised, unsupervised machine learning algorithms such as classifiers. For e.g: classifiers, cluster analysis, dimension reduction, regression etc. Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib) Advanced level programming in SQL and Python/Pyspark to guide teams Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Understanding of emerging technologies and latest data engineering providers Understanding of Agile, SCRUM and Continuous Delivery methodologies Key Skills: We are looking for experienced leaders with a strong analytical background (and overall professional experience of 16+ years) to work in our Analytics Consulting practice.Director s will work as an integral part of business analytics teams in India alongside clients and consultants in the U.S., leading teams for high-end analytics consulting engagements and providing business recommendations to project teams.Education: Advanced Degree in a quantitative discipline such as Computer Science, Engineering, Econometrics, Statistics or Information Sciences such as business analytics or informaticsRequired Skills: Successful candidates will have demonstrated the following skills and characteristics: Must have: Experience in designing, building and deploying ML models in cloud environments and ability to converse with client teams on cloud technologies.(At least 1 of the 3: Azure ML, GCP s Vertex AI platform, AWS SageMaker)Must Have 6 out of below 8 skills Solid knowledge and experience of supervised, unsupervised machine learning algorithms such as classifiers. For e.g: classifiers, cluster analysis, dimension reduction, regression etc. Good knowledge of statistics For e.g: statistical tests & distributions Experience in Data analysis For e.g: data cleansing, standardization and data preparation for the machine learning use cases Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow,, Pytorch, MLlib) Advanced level programming in SQL and Python/Pyspark to guide teams Expertise with visualization tools For e.g: Tableau, PowerBI, AWS QuickSight etc. Understanding of emerging technologies and latest data engineering providers Understanding of Agile, SCRUM and Continuous Delivery methodologies,

Keyskills :
data analysisdata cleansingcomputer sciencemachine learningsqlawsgcpcloud

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