Data Scientist 1

We are seeking a highly motivated team player with strong analytical skills who specializes in creating, driving, and executing projects. As a Data Scientist, this person will be providing data-driven solutions for managing and optimizing the AI models for Workforce Planning and Management program at PayPal. This role will primarily involve in developing and optimizing forecasting models, schedule optimization models, and enhanced affinity scoring models for routing and prioritization of leads delivery

Meet our team:

This role will be supporting data exploration, extraction, configuration, modelling, and developing solutions to improve customer experiences. Join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You will also be working closely with our technology partners in defining requirements, global operations partners, identifying and driving sustainable operational improvements, as well as with the product development partners to ensure proper implementation of the solution. If you are a driven, analytical thinker that values collaboration, continuous learning, and problem-solving, we would love to hear from you.

• Develop and implement advanced ML models, such as LSTM, FFT, gradient boosted decision tree, graph neural networks and deep learning models, to solve critical business problems related to recommendation, Forecasting, Optimization of PayPal back-office work force.
• Design and deploy scalable ML/AI solutions that enhance PayPals ability to provide a seamless customer experience, by working closely with our engineering group and PayPals Platforms organization.
• Optimize and fine-tune the models for better performance
• Adhere to software engineering best practices while collaborating with data engineers & ML engineers using GitHub, Jira, etc.
• Partner with stakeholders (Product, Technology, Operations) to continually improve/optimize models
• Share findings by organizing the data results into easy-to-understand frameworks using Tableau or other visualization tools

• Master s degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics
• 3+ years of experience with machine learning, experience analysing large, multi-dimensional data sets and synthesizing insights into actionable solutions Proficient in Programming languages such as Python, SQL.
• Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization (including linear programming) problems on large scale data sets. Ideally experience with time-series forecasting as well.
• Must have proven ability to merge and transform disparate internal & external data sets together to create new features
• Familiarity in relevant machine learning frameworks and packages such as Tensorflow and PyTorch. GCP/Hadoop and big data experience - an advantage
• Experience delivering ML projects and great track record delivering solutions with attention to detail and efficiency
• Experience shipping Realtime models a big plus
• Ability to rapidly learn new concepts (technical, risk, business) a critical success factor in this role
• Team-oriented, must be self-motivated, plan and manage time effectively, and be customer-focused
• Fluent spoken and written English communication with business and engineering partners to exchange requirements, explain solution methodologies, and influence with insights
• Experience within the financial industry, with payments/ (e-Commerce knowledge preferred)
• Experience in risk management (Sanctions, AML, Fraud, Credit, Compliance, CIP/KYC etc.)

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