Senior Data Scientist

Corporate Steps

Duties/ Roles & Responsibilities –

Proven experience in working with large datasets
Worked on structured, semi-structured and unstructured data
Worked on projects which includes computer vision
Highly skilled in advanced level programming in Python using libraries like pandas, scrapy, tensorflow, scikit-learn, keras, matplotlib etc.
Proven experience working on NLP using python libraries like NLTK, pattern, gensim, spacy, textblob etc.
Experience working on columnar data formats
Knowledge of CI/CD, version control, orchestration tools
Highly motivated and self-beginner
Highly skilled in developing supervised & unsupervised models
Experience working on cloud platform like AWS/Azure
Working knowledge of visualization tools – QlikView/Power BI/Tableau
Experience working in banking & financial services, capital market

Excellent verbal and written communication
Experience working on streaming data
Experience working with complex and unstructured datasets
Work independently as sole owner of assignments/tasks with minimal or no guidance
Work on complex and big data framework
Highly motivated and ability to work peacefully in stressed environment if arise
Develop ML & AI models based on structured and unstructured data
Work on Pyspark & Python as primary tools for data processing and model development
Work on matrix environment with multiple stakeholders
Orchestrate complete workflow – right from reading the data from source to publishing model output
Present the work to internal/external stakeholders
Mentor junior data scientists and guide them as and when needed

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2 Position

Full Time