Home / Current Openings / Principal Data Scientist
Experience : 14+ years
Education : Master degree in Statistics/Mathematics/Economics/Operations Research, B.E./B.Tech/M.E./M.Tech, Advanced Degree/Diploma in Data Science
Employment Type : Regular/Full Time
We are looking for a Principal Data Scientist to work on complex and big data framework. Your role as Principal Data Scientist will be to work independently as sole owner of assignments/tasks with minimal or no guidance. And establish standard and accelerators or PoC for faster delivery along with building and leading a strong AI/ML team for NSEIT. You would also have to work on matrix environment with multiple stakeholders and orchestrate complete workflow – right from reading the data from sources to publishing model output.
- Minimum 5-7 years of experience working as data scientist (overall 14+ years)
- 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.
- Hands on experience with developing & interpreting time series models, linear regression, logistic regression, neural network, random forest, clustering 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
- Knowledge of statistical concepts like hypothesis testing, probability distribution etc.
- Minimum 5-7 years of work experience as data scientist
- Working experience in capital market projects
- 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.
- Hands on experience with developing & interpreting time series models, linear regression, logistic regression, neural network, random forest, clustering etc.
- Experience working on streaming data
- Experience working with complex and unstructured datasets