Remoote.app

Work from anywhere. Start here.

JobsFree resume builderCompaniesLog in
Apply

Staff Data Scientist, Fraud

Posted 2024-11-17

View full description

💎 Seniority level: Staff, 7+ years

💸 Salary: 190000 - 260000 USD per year

🔍 Industry: Home services / Online 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, specifically focused on real-time ML models and fraud.
  • Expertise in machine learning, deep learning, and large language models.
  • Experience with algorithms such as Graph NN, Reinforcement Learning, and unsupervised learning for fraud detection.
  • Proven track record of deploying impactful machine learning models into production.
  • Proficiency in SQL and Python, with experience in cloud ML solutions.
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
Responsibilities:
  • Lead development of machine learning models to improve fraud detection across the marketplace.
  • Implement highly optimized models for seamless deployment and scalability in production.
  • Collaborate with engineers, data scientists, product managers, and designers on end-to-end development.
  • Encourage innovation within the team and explore new techniques to solve business problems.
  • Mentor junior team members and promote continuous learning and technical excellence.
Apply

Related Jobs

Apply
🔥 Staff Data Scientist, Fraud
Posted 2024-11-17

💸 190000 - 260000 USD per year

🔍 Home services

  • Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
  • 7+ years of experience in data science & machine learning, focusing on real-time models and fraud.
  • Expertise in machine learning and deep learning, particularly with large language models.
  • Knowledge of algorithms like Graph NN, Reinforcement Learning, and unsupervised learning approaches.
  • Proven track record in deploying impactful machine learning models.
  • Proficient in SQL and Python, experience with cloud ML solutions.
  • Excellent communication skills for conveying technical concepts.

  • Lead development of machine learning models to improve fraud detection.
  • Implement optimized models for scalable deployment.
  • Collaborate with engineers, data scientists, and product managers on machine learning systems.
  • Foster innovation within the team to solve complex problems.
  • Mentor junior team members and encourage knowledge sharing.
Posted 2024-11-17
Apply
Apply
🔥 Staff Data Scientist, Fraud
Posted 2024-11-17

🧭 Full-Time

💸 190000 - 260000 USD per year

🔍 Online marketplace for home services

  • Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics).
  • 7+ years of experience in data science & machine learning, focusing on real-time models within tech or marketplaces.
  • Expertise in machine learning and deep learning; knowledge of large language models.
  • Proficiency in state-of-the-art algorithms for fraud detection.
  • Proficiency in SQL and Python; experience with cloud ML solutions.
  • Excellent communication skills to convey complex concepts to non-technical stakeholders.

  • Lead development of machine learning models and algorithms for fraud detection.
  • Implement optimized models for seamless deployment and scalability.
  • Collaborate with engineers, data scientists, product managers, and designers.
  • Foster innovation in solving complex business problems.
  • Guide junior team members and promote a culture of learning.
Posted 2024-11-17
Apply
Apply
🔥 Staff Data Scientist, Fraud
Posted 2024-11-17

🧭 Full-Time

💸 190000 - 260000 USD per year

🔍 Home services marketplace

  • Master’s or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics.
  • 7+ years of experience in data science and machine learning, focusing on fraud detection.
  • Expertise in machine learning and deep learning models, including working knowledge of large language models.
  • Familiarity with advanced algorithms like Graph NN, Reinforcement Learning, and unsupervised learning for fraud detection.
  • Proven track record of deploying impactful machine learning models.
  • Proficiency in SQL and Python, with experience in cloud ML solutions.
  • Excellent communication skills for conveying 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.
  • Collaborate with engineers, data scientists, and product managers on machine learning systems.
  • Foster innovation by exploring new approaches to solve complex business problems.
  • Mentor junior team members and promote a culture of continuous learning.
Posted 2024-11-17
Apply

Related Articles

Remote Job Certifications and Courses to Boost Your Career

August 22, 2024

Insights into the evolving landscape of remote work in 2024 reveal the importance of certifications and continuous learning. This article breaks down emerging trends, sought-after certifications, and provides practical solutions for enhancing your employability and expertise. What skills will be essential for remote job seekers, and how can you navigate this dynamic market to secure your dream role?

How to Balance Work and Life While Working Remotely

August 19, 2024

Explore the challenges and strategies of maintaining work-life balance while working remotely. Learn about unique aspects of remote work, associated challenges, historical context, and effective strategies to separate work and personal life.

Weekly Digest: Remote Jobs News and Trends (August 11 - August 18, 2024)

August 18, 2024

Google is gearing up to expand its remote job listings, promising more opportunities across various departments and regions. Find out how this move can benefit job seekers and impact the market.

How to Onboard Remote Employees Successfully

August 16, 2024

Learn about the importance of pre-onboarding preparation for remote employees, including checklist creation, documentation, tools and equipment setup, communication plans, and feedback strategies. Discover how proactive pre-onboarding can enhance job performance, increase retention rates, and foster a sense of belonging from day one.

Remote Work Statistics and Insights for 2024

August 13, 2024

The article explores the current statistics for remote work in 2024, covering the percentage of the global workforce working remotely, growth trends, popular industries and job roles, geographic distribution of remote workers, demographic trends, work models comparison, job satisfaction, and productivity insights.