KDN Data Science Manager

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics.
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications.
Comfortable in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Prior experience/understanding in ML Ops in any cloud platform.
Strong on Generative AI with using ChatGPT and CoPilot with hands on experience, how to use APIs to integrate with co-pilot and fabric.
Strong exposure on Microsoft Tech Stack ecosystem
Should be comfortable with using Azure Document Intelligence, Azure Machine Learning for model training and deployment and should be familiar with one of : Azure AI Language, Azure AI Vision
Communicate results and educate others through reports and presentations.
Should be comfortable with Dev Ops and code version control and software development coding best practise.

Certifications:

Candidates should have atleast 2 of the following certifications from Azure:

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics.
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications.
Comfortable in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Prior experience/understanding in ML Ops in any cloud platform.
Strong on Generative AI with using ChatGPT and CoPilot with hands on experience, how to use APIs to integrate with co-pilot and fabric.
Strong exposure on Microsoft Tech Stack ecosystem
Should be comfortable with using Azure Document Intelligence, Azure Machine Learning for model training and deployment and should be familiar with one of : Azure AI Language, Azure AI Vision
Communicate results and educate others through reports and presentations.
Should be comfortable with Dev Ops and code version control and software development coding best practise.

Certifications:

Candidates should have atleast 2 of the following certifications from Azure:

Bachelors Degree in technical or quantitative field from an accredited college or university (Masters or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred) with 10+ years of relevant experience in Machine Learning, Statistics.
Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint.

Must have Skills and Experience

Translate business objectives into analytic approaches and identify data sources to support analysis.
Analyze structured and unstructured data using advanced statistical methods/deep learning/Generative AI
Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns.
Strong programming experience in Python, SQL Should have experience of working with open-source packages & commercial/enterprise applications.
Comfortable in machine learning, statistical methods, such as regression, classification, clustering, ensemble & tree-based models, time-series analysis
Prior experience/understanding in ML Ops in any cloud platform.
Strong on Generative AI with using ChatGPT and CoPilot with hands on experience, how to use APIs to integrate with co-pilot and fabric.
Strong exposure on Microsoft Tech Stack ecosystem
Should be comfortable with using Azure Document Intelligence, Azure Machine Learning for model training and deployment and should be familiar with one of : Azure AI Language, Azure AI Vision
Communicate results and educate others through reports and presentations.
Should be comfortable with Dev Ops and code version control and software development coding best practise.