We have requirement for Data Scientist

Job Description

About Paytm :Paytm is India s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Net banking, Paytm FASTag and Paytm Post-paid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks financial instruments. To further enhance merchants business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.About the team: We are a growing team of 50+ data scientists working on various projects primarily using AWS EMR and AWS Sage maker servers. This AWS and MLOPs team works on end-to-end integrated solutions of many data science models, manage the team s EMR cluster and AWS S3 bucket storages and deployments, and provide support for various issues related to sessions & model deployments.Overall Relevant Experience:1. 3-8 years (MLOps, Cloud: AWS/GCP/Azure, Data Pipelines, Data Science Deployments)Superpowers/ Skills that will help you succeed in this role.End-to-End Solution Designing of Data Science models.1.Build, understand and evaluate data science solutions based on business problems.Deployment and maintenance of ML Models (MLOps) real-time, near-real time and batch-modeCreate architecture diagrams for deploymentsDiscuss with Data Science team, review development codes (PySpark & Python) and convert to deployment codes and unit-testDesigning a model monitoring and governance framework and building trigger-mechanism system to fire various model-rebuild pipelinesExplore New Services & Create Machine Learning FrameworksQuickly test, set-up with help of DevOps, and facilitate demos for team on new AWS services: Sage makerUpon successful demo/validation of new servicesCreate frameworks and starter-codes for various ML algorithms: clustering, deep learning models, tree-based (XGB, LGB, GB, CB, RF) and linear/logistic modelsAWS SupportDebug teams day-to-day issues and cater to service-requests related to AWS EMR (main), S3, EC2, PySpark Code, Sagemaker (optional) services with least possible TATQuickly raise and follow-up on JIRA tickets to various DevOps and other Data teams as and when requiredCreate and maintain policies and reports and best-practices to lower debug-TAT and increase overall efficiencyRaise AWS Support Cases for worst-cases and have discussions with AWS to resolve the sameAWS S3 ManagementManage AWS S3 Storage to make sure users use S3 storage responsibly, follow up on memory reports and create and optimize S3 Buckets Usage PolicyCater to S3 Bucket requests: deletions, download and share or move files/foldersAWS EMR Maintenance & Cluster ManagementAdvice users on what Spark Session configuration to useMonitor HDFS utilizationMonitor Master Nodes Storage and RAMMonitor Cluster RAMCoordinate with DevOps for new EMR cluster/service creation, cost understanding Inter-team CommunicationCoordinate activities with DevOps team and see the DevOps tasks to completion.Coordinate with Data Science team for their service requests & deploymentsTeam ManagementManage/lead a team of MLOps and AWS specialists in performing various deployment and support functions.Other team management responsibilities: performance reviews, providing timely feedbacks and support learning and growthSuperskills to succeed in this role:Fluent with AWS interfaces and basic knowledge of AWS servicesExposure to MLOps & Machine Learning model deployments on AWSGood understanding of Spark Architecture and AWS EMR serviceExcellent Python scripting skillsExperience in PySparkBasic understanding of DevOps and ability to communicate clearly with DevOps team.Preferably completed the Udemy Course: AWS SolutionsArchitect AssociateExperience with version control and git (GitHub / Bitbucket / Gitlab)Experience in building python packagesExperience in Airflow [Good to Have]Experience in Docker [Good to Have]Soft Skills:High AvailabilityPatient and proactive debugger and focus towards solutions.Good interpersonal skillsEducation:Must be a Btech/Mtech, MBAWhy join us :A collaborative output driven program that brings cohesiveness across businesses through technologyImprove the average revenue per use by increasing the cross-sell opportunities.A solid 360 feedbacks from your peer teams on your support of their goalsCompensation:If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story!,

Keyskills :
sqlanalyticspythondata analysisdata sciencemachine learning