Data Scientist

작업 내용

About Paytm Labs:At Paytm Labs, we’re on a mission to provide useful technological solutions that enrich and empower millions of people in their daily lives. We apply big data, artificial intelligence, and machine learning to bring the next generation of financial products and services to global markets.We recently soft-launched Pi, our full end-to-end fraud management system that is able to make real-time decisions. It works as a dynamic rule engine to make day-to-day analyses and procedures. Check out more about Pi here: pi.paytm.com.Job Description: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.Responsibilities:

• 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
  
  

Qualifications:

• 2+ years’ work experience as a Machine Learning Engineer 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 algorithms in academic 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)
• Think outside of the box, willing to have both hard works and have fun
• Ability to work in a team and 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)
  
  

Why join Pi!

• Flexibility to WFH
• For the fourth 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
• We ensure flexible hours outside of our core working hours
• Enrolment in the Group Health Benefits plan right from day 1, no waiting period
• Team building events
• Online learning through the platform, UDEMY
• 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, Pool, multiple board games, and video games
  

Notice for Job ApplicantsWe are an equal opportunity employer and value diversity and uniqueness at our company. 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.