Senior Data Scientist
Toronto, Canada
Paytm Labs – Labs - Engineering /
On-roll /
On-site
Who are we?
We are a highly skilled team of innovators. We apply big data, artificial intelligence, and machine learning to bring the next generation of financial products and services to global markets. https://pi.paytm.com/
What is Pi?
The only fraud and risk management platform that orchestrates data from the entire customer journey, fighting fraud more effectively with configurable risk models in a single, easy-to-use platform.
Company Overview:
We are a leading provider of cutting-edge software solutions, specializing in fraud risk management. Our innovative SaaS platform helps businesses mitigate fraud risks, protect sensitive data, and maintain trust with their customers.
Position Summary:
We are looking for a Data Scientist 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 Paytm Labs data scientist community.
What does this include?
- Design, build, evaluate, and defend machine learning models to detect various types of fraud, with a focus on protecting our 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
Requirements:
- 5+ years’ work experience overall and 2+ years’ work experience as a Senior Machine Learning Engineer or similar role
- Understanding of various advanced analytical and machine learning methods
- Excellent understanding of machine learning frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (sci-kit-learn, etc.)
- Passionate to learn the state-of-the-art machine learning framework and algorithms in academia and industry.
- 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)
- Challenge the norm and be a creative thinker
- Willing to work hard and have fun
- Ability to work in a team and be highly collaborative
- Working experience in fraud risk is plus
- Knowledge of Scala language is a plus
- BS, MS, or Ph.D. in Computer Science or related technical discipline (or equivalent)
- Able to handle high-pressure situations and is ready to roll up your sleeves and get the job done
Why join us?
- For the 5th year in a row, we are proud to announce that we have been certified as a ‘Great Place to Work’
- We are an open work environment that fosters collaboration, ownership, creativity, and urgency
- Flexibility with work schedule
- Enrolment in the Group Health Benefits plan from day 1, no waiting period
- Team building events on and off-site
- Fuel for the day: weekly delivery of groceries, and all types of snacks
- Catered lunches and desserts on a monthly basis
- Daily fun in the office with our competitive games of Ping Pong, Chess, FIFA, and more games, etc.
- And of course, an unlimited amount of freshly made coffee! We’re pretty serious about our coffee beans
“We pooled our knowledge of the space and our world-class engineering talent to produce Pi. It’s everything we wanted in an FRM, saving us hundreds of millions of dollars.” - Harinder Takhar, CEO
Go Big or Go Home!
Paytm Labs believes in diversity and equal opportunity and we will not tolerate any forms of discrimination or harassment. Our people are critical to our success and we know the more inclusive we are, the better our work will be.
We thank all applicants, however, only those selected for an interview will be contacted.
Paytm Labs is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodations during the recruitment and selection process, please let us know.
