Senior Data Scientist Job in Corporate Steps

Senior Data Scientist

Data Scientist

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

Skills

Requirements

• • • Skills Required:

• 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