Responsibilities:-
The hired data scientist will be part of the DataFirst - Analytics Centre of Excellence team and will primarily play an active role in supporting the bank to build advance analytic solutions by working with the business owners/sponsors, and other data scientists to develop advance analytics solutions, especially in machine learning and statistical techniques.
Requirements:-
• PhD or master’s in computer science/engineering, or other related fields, preferably in the area of machine learning, data mining, deep learning, or equivalent quantitative fields preferred. Strong mathematical background.
• 5+ years of data analytics experience in industry (ideally banking, finance, ecommerce, telecoms, retail, fintech or technology firms) 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
• 5+ years of experience on large amount of data, building and implementing various machine learning models or applications.
• Excellent modelling background including but not limited to classification, clustering, recommender systems, deep learning, reinforcement learning, natural language processing et al.
• Programming experience in Python, PySpark, Tensorflow, Pytorch or other machine learning oriented programming languages/platforms.
• Familiarity with Hadoop and Hive. Proficient in using databases like Teradata, Oracle, SQL Server, etc.
• Experience with NoSQL databases.
• Have gone through 1 full SDLC for products related/involved machine learning
• Solid track record of deploying machine learning solution into production environment and integrate into operation
• Excellent problem-solving skills and strategic thinker
• Ability to communicate complex analysis/models across a diverse team.
• Good interpersonal skill and able to influence the decision making of data science and IT
• Good written and oral communication skills
• Familiar with machine learning framework and different tasks performed during the modelling process. In-depth understanding of data processing, wrangling and feature engineering techniques.
• Proficiency with code management tools such Git/Bitbucket and willing to take up other software development tools such as Jira and confluence.
• Experience building large scale distributed machine learning solutions
• Eager to learn and get hands dirty with new technology.
• Familiar with NLP/Graph Mining/Deep Learning
• Expert on the open source stack of bid data and machine learning solutions such as Hadoop, Spark, Mesos, Hive, Impala, Spark Streaming, Kafka, API, Anaconda
• Familiar with development, deployment, production and operation life cycle of the machine learning product and software best practices such as SDLC, CICD, Test-Driven Development (TDD)
• Experience building robust & high-throughout API for analytics-as-a-service solutions
• CFA/CPA/FRM certificate will be a plus
