Data Scientist, Payments

Stripe · 📍 Dublin · Diposting 2026-10-07
FULL_TIME⭐ TERVERIFIKASI
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Stripe is looking for a talented Data Scientist to join our Payments team in Dublin. As a Data Scientist, you will play a crucial role in developing and implementing data-driven solutions to improve our payment processing capabilities. You will work closely with cross-functional teams to analyze large datasets, build predictive models, and derive actionable insights.

This is an exciting opportunity to work in a dynamic and innovative environment. We offer a competitive salary, comprehensive benefits, and the chance to make a significant impact on the future of payments.

If you are passionate about data science and have a strong background in machine learning and statistical analysis, we would love to hear from you.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

  • Develop and implement data-driven solutions to improve payment processing capabilities.
  • Analyze large datasets to identify trends, patterns, and insights.
  • Build and deploy predictive models to enhance fraud detection and risk management.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Continuously improve data infrastructure and analytics processes.
  • Stay up-to-date with the latest advancements in data science and machine learning.
  • Mentor and guide junior team members in data science best practices.

    • 🎓 Kualifikasi & Syarat

    Kualifikasi:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
  • 3-5 years of experience in data science, machine learning, or a related field.
  • Strong programming skills in Python, R, or a similar language.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Proficiency in SQL and experience with big data technologies such as Hadoop or Spark.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Ability to work in a fast-paced, agile environment.

    • 🛠️ Keahlian

    PythonRSQLTensorFlowPyTorchscikit-learnHadoopSpark
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