Senior Machine Learning Engineer/Data Scientist

Senior Machine Learning Engineer/Data Scientist

Toronto, Ontario, Canada -Permanent


Job Description

Our client is a division of one of the worlds largest mobile commerce platforms which produces over 2 billion transactions a year, the majority of which occur on mobile apps. They pioneered and are the leader of QR based mobile payments in India, with over 300 million customers, they started out by offering mobile recharge and utility bill payments, and today they offer a marketplace to consumers on their mobile apps.

They're looking for a Machine Learning Engineer who also has a Data Scientist focus, to work on developing large-scale big-data machine learning & solution automation toolkits and libraries. In this role, you will work with a talented engineering and data science team to develop a state-of-the-art data science automation framework that will enable hundreds of solutions and users, while also having the opportunity to research the latest machine learning techniques in industry and academia and then bring into their data scientist community.

Responsibilities:

Design, build, evaluate and defend machine learning models to detect various types of fraud, with a focus on protecting their members
Collaborate with business partners to deploy models and create and deploy strategies utilizing model results
Develop and implement metrics to monitor and measure model and strategy impact
Perform full cycle model design and development which includes, but is not limited to identifying objectives, sampling, testing/validation, calibration, and monitoring performance
Lead development of predictive modeling projects using data mining techniques for estimating current and future member engagement, operational performance, or other business outcomes
Link Analysis/Graph analytics to find and mitigate deeply-connected fraud networks and detect new accounts being added to these networks
Unsupervised learning methods to augment existing supervised models, or detect portfolio anomalies


Must Have Skills:

5+ years work experience as a Machine Learning Engineer/Data Scientist or a similar role
Understanding of various advanced analytical and machine learning methods. Excellent understanding of machine learning frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.)
Passionate to learn the state-of-the-art machine learning framework and algorithm in academic and industry
BS, MS, or Ph.D. in Computer Science or related technical discipline (or equivalent)
Excellent understanding of computer science fundamentals, data structures, and algorithms
Familiar with object-oriented design methodology and application development in Python
Familiar with Big Data related technologies to manage large volumes of complex data (SQL, Pyspark)
Working experience in Fraud Risk is a plus!
Knowledge of Scala language is also a plus!


Details:

Starting: ASAP
Travel: 20%
Dress Code: Casual







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