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Data Scientist

  • Hybrid
    • Warsaw, Warmińsko-Mazurskie, Poland
  • Engineering

Hybrid work: 2-3 days from office
Location: Warsaw

Job description

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.

Job 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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