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Senior Data Scientist

Senior Data Scientist

DevelopBerlin
Vor 30+ Tagen
Anstellungsart
  • Unbefristet
Stellenbeschreibung

Sr Data Scientist | Hybrid | Berlin | €70-90k | GreenTec

I am partnered with a client based in Berlin looking to expand their ML team and I am searching for a talented Machine Learning Engineer with expertise in remote sensing to join their team in Berlin (flexible Hybrid work arrangements possible). In this role, you will play a key part in developing and deploying machine learning models that extract valuable information from satellite imagery and other remote sensing data sources. 3-4 stage interview process.

Responsibilities :

  • Design, develop, and implement : machine learning models for tasks such as object detection, classification, and time series analysis of remote sensing data.
  • Develop smoke detection models : Analyze sensor data to identify early signs of fire using your machine learning expertise (think deep learning!).
  • Deploy and test sensors : Get your hands dirty! You'll help us deploy and experiment with sensor networks in real forests.
  • Build the data pipeline : Streamline the flow of data from sensors to our AI models using ETL pipelines (think data hero!).
  • Predict forest health : Develop models to predict forest health based on climate change, empowering owners and authorities to take action.
  • Become a fire prediction Expert : Build or use existing models to predict wildfires and supplement our sensor-based approach.

Qualifications :

  • Holds a Master's or PhD in Data Science, Statistics, CS, Math, or a similar field.
  • Has 5 years of data science experience (you know your stuff!).
  • Has expertise in machine learning and experience with TensorFlow, PyTorch, and scikit-learn.
  • Experienced time series forecasting, division trees, XGBoost, and ensemble techniques.
  • Can tame complex data with PCA, T-SNE, and k-means clustering.
  • Has experience with ETL pipelines and MLflow (end-to-end ML pipelines are your jam).
  • Can communicate clearly and present your findings with confidence.
  • Thrives in a team environment and enjoys independent work.
  • Can translate complex technical concepts and understand requirements.

    • Benefits :

  • Competitive salary and benefits package.
  • Opportunity to work on challenging and impactful projects.
  • Collaborative and supportive work environment.
  • Flexible work arrangements (remote work possible).
  • Continuous learning and development opportunities.

    • Please apply with your CV, email and contact number. Or alternatively reach out to me on LinkedIn