Data Scientist (Banking Domain Mandatory)

Work-days: Sunday through Thursday

Work shift: Day time

• Strong problem-solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience in building ML pipelines with Apache Spark, Python
• Proficiency in implementing end to end Data Science Life cycle
• Experience in Model fine-tuning and advanced grid search techniques
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
  
  

networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
  
  

statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
  
  

Key Skills

• Strong knowledge in Data Science pipelines with Python
• Object-oriented programming
• A/B testing framework and model fine-tuning
• Proficiency in using sci-kit, NumPy, and pandas package in python
  
  

Nice To Have

• Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes
• Unit testing, Test-driven development practice
• DevOps, Continuous integration/ continuous deployment experience
• Agile development environment experience, familiarity with SCRUM
• Deep learning knowledge Skills:- Data Science, Machine Learning (ML), Deep Learning, Python and SQL