Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

We are looking for a Sr. Data Scientist to analyse large amount of raw information to find patterns, choose algorithms/models, build AI/ML products, extract insights and optimize the algorithms/models in iterations, preferably using python, scikit-learn, tensforflow/keras and pytorch

The incumbent should possess excellent analytical skills and proficiency in mathematics and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

The incumbent should be able to technically lead/guide a team of 3 to 5 Data Scientists, while contributing individually. The candidate should be hands-on.

Education

BSc/BA/BE/BTech/MCA in Computer Science, Engineering or Mathematics or Statistics or relevant field; graduate degree in Data Science or other quantitative field is preferred

Relevant Master’s degree preferred

Experience

5-8 years of relevant industry experience

Industry

Information Technology/BSFI

Responsibility

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Undertake Data wrangling and cleaning
• Analyze large amounts of information to discover trends and patterns
• With varied use cases the candidate should be comfortable to work on python, scikit-learn, OpenCV, NLTK, CNN, RNN, LSTM, pytorch while using GPU resources.
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Able to manage a team of 3 to 5 members
• Able to deliver the individual and team members artefacts independently
• Should have business expertise:

• Data landscape understanding
• Solution conceptualization
• Understanding of business context
• Business benefit estimation
• Change management

• Interaction with senior leaders and business stakeholders

Skills and Qualifications

1. Proven industry experience as a Data Science and Machine Leaning Engineer
2. Should have practical hands-on experience in managing and delivering 2 to 4 projects in AI/ML/Analytics projects preferably in BFSI domain
3. Experience on dimensionality reductionality concepts like PCA, Filters, Ensemble methods, Backward/Forward elimination, feature abstraction
4. Understanding of data structures, data modeling, data mining and software architecture
5. Deep knowledge in mathematics and statistics or operation research.
6. Hands-on experience in Python or R, SQL and/or NoSQL databases; familiarity with Scala, Java or C++ is an asset
7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch/PyCharm/Kite) and libraries (like scikit-learn)
8. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop, Spark, Kafka, etc) would be a plus
9. Image Processing Knowledge would be a plus
10. Should have NLP experience
11. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
12. Automation of machine learning model development processes
13. Outstanding analytical and problem-solving aptitude
14. Excellent communication and presentation skills
15. Industry certifications and fulltime of minimum 1 year course from reputed institute