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Data Scientist 1
Xoom
posted 12d ago
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Job Description
WFM&P data scientists aim at optimizing operational expenses by assessing the opportunities of improved automation, workforce demand, scheduling, budgeting, etc... It s an end-to-end impact we make through our customer s journey. With a strong background in Machine Learning and practical experience in building and implementing large scale predictive models to solve business problems, you will help to bring insights and identify additional opportunities from Data & Machine Learning to market.
In your day to day role you will
- 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
What do you need to bring
- 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.)
Employment Type: Full Time, Permanent
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