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Staff Data Scientist, Fraud

Posted 2 months agoViewed

View full description

💎 Seniority level: Staff, 7+ years

💸 Salary: 190000.0 - 260000.0 USD per year

🔍 Industry: Home services / Marketplace

🗣️ Languages: English

⏳ Experience: 7+ years

Requirements:
  • Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
  • 7+ years of experience in data science & machine learning with a focus on real-time ML models.
  • Expertise in machine learning, deep learning, and large language models.
  • Knowledge of algorithms like Graph Neural Networks, Reinforcement Learning, and unsupervised learning.
  • Proven track record of deploying impactful machine learning models.
  • Proficient in SQL and Python; experience with cloud ML solutions.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.
Responsibilities:
  • Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection.
  • Implement highly optimized models for seamless deployment and scalability.
  • Collaborate with engineers, data scientists, and product managers on end-to-end development.
  • Foster innovation and explore new techniques for solving business problems.
  • Guide junior team members and promote continuous learning and technical excellence.
Apply

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🔥 Staff Data Scientist, Fraud
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🧭 Full-Time

💸 190000.0 - 260000.0 USD per year

🔍 Home services / Online marketplace

  • Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics.
  • 7+ years of experience in data science & machine learning, with focus on real-time ML models in tech industry & marketplace environments.
  • Expertise in machine learning and deep learning, and good knowledge of large language models.
  • Expertise in state-of-the-art algorithms like Graph NN and Reinforcement Learning for detecting fraud.
  • Proven track record of deploying impactful machine learning models.
  • Proficiency in SQL and Python, with experience in cloud ML solutions.
  • Excellent communication skills to explain complex technical concepts to non-technical stakeholders.

  • Lead development of state-of-the-art machine learning models and algorithms to improve fraud detection.
  • Implement highly optimized models for seamless deployment and scalability in production environments.
  • Collaborate with engineers, data scientists, product managers, and designers on the end-to-end development process.
  • Foster innovation within the team by exploring new techniques to solve business problems.
  • Mentor junior team members and encourage knowledge sharing.
Posted 2 months ago
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🔥 Staff Data Scientist, Fraud
Posted 2 months ago

🧭 Full-Time

💸 190000.0 - 260000.0 USD per year

🔍 Home service marketplace

  • Master’s or Ph.D. in a quantitative field (Computer Science, Statistics, Mathematics, or related).
  • 7+ years of experience in data science and machine learning, with a focus on real-time ML models.
  • Expertise in machine learning and deep learning, including large language models.
  • Knowledge of algorithms such as Graph NN, Reinforcement Learning, and unsupervised learning for fraud detection.
  • Experience deploying impactful machine learning models in production.
  • Proficient in SQL and Python, with experience in cloud ML solutions.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.

  • Lead development of machine learning models and algorithms to enhance fraud detection.
  • Implement optimized model deployment processes for scalability in production.
  • Collaborate with engineers, product managers, and designers for seamless integration of solutions.
  • Foster innovation and explore new techniques to address business challenges.
  • Mentor junior team members and promote continuous learning.
Posted 2 months ago
Apply

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