Data Science-Senior

Your key responsibilities

Apply machine learning techniques to deliver actionable insights
End to end coding using Python, R
Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends
Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems
Apply standard statistical methods, simulation models and statistical programming as needed
Develop a strong understanding of business requirements; working with business users/ business analysts to define probable solutions and present result in a clear and concise manner
To act as an SME on ML/AI
Stakeholder management and stakeholder interaction
Responsible for mentoring team members in the use of AI/Machine Learning

Skills and attributes for success

An overall experience of 4 + years of which 2+ years of hands on work experience with Machine Learning and Artificial Intelligence techniques and tools such as neural networks, deep learning, MS Azure Cognitive Service, regression, decision tree, random forest, classification and clustering, natural language processing (NLP), Natural Language Generation (NLG), ARIMA algorithms
Expertise in software such as R, Python
Strong - programming skills, algorithm development and database management systems
At least a couple of end-to-end ML projects experience

To qualify for the role, you must have

Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.
As an AI / ML manager, you will be involved in designing, development, testing and deployment of AI/ML solutions.
Tax application experience

Ideally, you’ll also have

Master’s degree

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