Added
16 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker sql python machine learning hadoop
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๐Ÿ“‹ Description

  • Develop, improve, and maintain data science products throughout the full lifecycle, from initial
  • Continuously enhance existing machine-learning models by incorporating new features, fine-tuning
  • Collaborate closely with Machine Learning Engineering teams to design and deploy scalable
  • Explore new and existing data sources to identify opportunities for improving model performance and
  • Research and evaluate new machine-learning approaches that can optimize different stages of the
  • Design, run, and evaluate A/B tests to validate hypotheses, measure impact, and guide product and

๐ŸŽฏ Requirements

  • At least 3 years of relevant experience developing data science products, ideally covering the
  • Strong programming skills, with a focus on writing clean, reproducible, maintainable, and
  • Strong proficiency in Python, Spark, Hadoop, Airflow, Docker, and SQL.
  • Hands-on experience working with algorithms designed for sparse and large-scale datasets, including
  • Good understanding of data analysis, experimentation, and statistical evaluation, including
  • Previous experience in Ad-Tech is required.

๐ŸŽ Benefits

  • Direct exposure to founders and the opportunity to make a meaningful, direct impact on the business
  • Strong career growth and continuous learning opportunities.
  • Opportunity to work alongside experienced industry experts and entrepreneurs shaping the future of
  • Diverse, driven, and multinational team distributed across Europe, Asia, North America, South
  • Fully remote work with a flexible work-from-home arrangement.
  • Opportunity to relocate to an office in Berlin.

๐Ÿšš Relocation support

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