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Bricsa Consulting - remotehey
Bricsa Consulting

Data Scientist

germany / Posted
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πŸ—ƒοΈ We’re Hiring: Data Scientist

πŸ“ Location: Remote (Germany)

πŸ•’ Employment Type: Full-Time

πŸ’Ό Level: Mid-Level / Senior (Flexible depending on experience)

We’re looking for a highly analytical and data-driven Data Scientist to help us transform data into insights and support strategic decision-making. This role is ideal for individuals who enjoy modeling, experimentation, and solving complex problems in a collaborative, remote-first environment.

🎯 Key Responsibilities
  • Build predictive models, statistical analyses, and machine learning solutions to support business goals.
  • Explore, clean, and analyze large structured and unstructured datasets.
  • Develop data-driven insights and communicate findings to cross-functional teams.
  • Collaborate closely with data engineers, analysts, and product teams to create scalable data solutions.
  • Implement and validate machine learning algorithms and pipelines.
  • Design and conduct A/B tests and other experiments.
  • Document methodologies, model performance, and best practices.
βœ… Requirements
  • 2–5 years of experience in data science, machine learning, or analytics roles.
  • Proficiency in Python or R, including ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong knowledge of statistics, modeling techniques, and data visualization.
  • Experience working with SQL and handling large datasets.
  • Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools is a plus.
  • Ability to present complex insights in a clear and actionable way.
  • Strong problem-solving and analytical thinking.
  • Fluent in English; German is a plus.
  • Based in Germany with legal right to work full-time.
🌟 What We Offer
  • Fully remote role within Germany.
  • Opportunity to work with modern ML frameworks and cutting-edge data technologies.
  • Collaborative team environment with knowledge-sharing and mentorship.
  • Ownership of end-to-end data science projects.
  • Competitive salary and benefits package.