VP, Senior Data Scientist & Data Science Lead - Consumer Banking Group (CBG)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Responsibilities

• Build cutting edge algorithms and working with state-of-art data science, Machine Learning and Deep Learning tools such as scikit-learn, TensorFlow and Spark, and will have mastery in any number of analytic platforms like SAS, SQL, Python, etc.
• Work with large scale datasets for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, propensity models, customer segmentation, graph models, etc.
• Work alongside BA, product and platform leadership, ideate and prioritize AI use cases, make regular presentation to senior management to share analysis findings and explain AI solutions.
• Help the rest of BA team with methodology and guidance in the areas of experiment design and data analysis.
• Manage and develop junior data scientists, interns and program participants to improve their data science capabilities and plan their career path.

Technical requirements:

• More than 5 years of data analysis, Machine Learning, Deep Learning model development on large amount of data, implementing and deploying various statistical models.
• Expertise in Python, SQL, Spark, MS Office tools and other statistical programming software such as SAS

Non-Technical requirements:

• PhD, Masters or equivalent degree in Data Science/AI/ML/Computer Science/Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
• More than 8 years of experience in industry (ideally consumer banking, eCommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results
• Ability to communicate complex analysis/models across a diverse team.
• Strong written and oral communication skills