Senior Data Scientist - Credit Modeling

March 15

🏡 Remote – New York

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Logo of PayPay Corporation

PayPay Corporation

Create new values and change the world with PayPay, anytime, anywhere.

1001 - 5000

Description

• Passion to develop novel machine learning software systems for credit modeling and default risk prediction • Deploy systems to production • Test systems to ensure all users and merchants needs are covered • Perform ETL to build model features using petabyte-scale datasets • Develop high throughput and low latency systems to serve models in production • Collaborate with engineering teams to put machine learning functionalities into production • Drive roadmap that applies Machine Learning technologies to content discovery, engagement, recommendation, prediction, risk underwriting, etc. • Work with stakeholders to show them benefits of using system and driving adoption of product • Design scalable and deployable machine learning solutions • Define performance and validation metrics and coach team to achieve these • Introduce and own the process of model building and the infrastructure behind it

Requirements

• 8+ years of software engineering experience • Proven track record of architecting and taking ML systems to production • Designed and built complex, scalable, high throughput, low latency streaming/batch processing machine learning pipelines • Ability to explain and present analyses and machine learning concepts to a broad technical audience • Extreme bias towards action • Master degree or equivalent in Computer Science, Engineering, Mathematics or related field • Working knowledge of PyTorch, Tensorflow or similar frameworks is a plus • Working experience of AWS SageMaker, Google Vertex is a plus

Benefits

• Full Time • Work From Anywhere at Anytime • Remote Job • Super Flex Time (No Core Time) • Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days • Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire) • Personal leave (5 days each year, granted proportionally according to the month of employment) • Late overtime allowance, Work From Anywhere allowance (JPY100,000) • Social Insurance (health insurance, employee pension, employment insurance and compensation insurance) • 401K • Language Learning support • Translation/Interpretation support • VISA sponsor + Relocation support

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