Data Scientist

7 dni temu

Warszawa, Mazovia, Polska TechBiz Global Pełny etat 60 000 zł - 120 000 zł rocznie

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Engineer to join one of our
clients
' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

What you'll do
:

  • End-to-End Model Ownership:
    Design, develop, and ship production-grade machine learning models. You will have the autonomy to own your solutions, considering everything from memory footprint to latency.
  • Research and Innovation:
    Dive deep into statistical analysis, probability, and machine learning/deep learning models. You'll be expected to critically evaluate existing solutions and, when necessary, develop novel approaches. A foundational understanding of NLP architectures like Transformers is a plus.
  • Engineering:
    Build and maintain containerized models and develop comprehensive model monitoring solutions to track metrics like variable drift.
  • Streamlined Deployment:
    Create and manage CI/CD pipelines for our machine learning models and contribute to the design and development of APIs.
  • Data Expertise:
    Utilize your SQL proficiency to perform in-depth data analysis and feature engineering.

Requirements:

  • Proficient Software Engineering Skills:
    A strong track record of designing, developing, and deploying ML models in a production environment. Experience with deploying models on Scoring Platform is highly desirable.
  • Expertise: High proficiency in
    Python.
  • Strong Quantitative Foundation:
    A deep understanding of statistical analysis, probability, and a wide range of machine learning and deep learning models.
  • MLOps Experience:
    Hands-on experience with containerization (Docker), CI/CD pipelines, and model monitoring.
  • API & Containers: Experience in API schema design and development and in building containerized applications (e.g., using Docker)
  • Excellent communication and stakeholder management skills.

  • Experience working with consumer or partner Fraud Detection/Credit Underwriting would be a plus.

  • Ideally, you have:

  • An academic background in Physics, ML, Data Science, Mathematics, or Biology
  • Prior experience as a Senior Data Scientist, ideally within a regulated environment or fintech context

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