Senior Data Scientist - Maritime Risk and Compliance
Kpler
- Αθήνα
- Μόνιμη
- Πλήρης Απασχόληση
- Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies.
- Work across the stack to deliver new features end to end.
- Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits.
- Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company.
- Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features.
- Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration.
- Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects.
- Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems.
- Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2).
- AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark.
- You have at least 5 years of experience in DS role, deploying models into production;
- You have proven experience delivering end-to-end ML solutions that produced business value.
- You have proven experience with big data technologies, specifically Spark and Kafka
- You are proficient in Python.
- You have expert knowledge of at least one cloud computing platform (preferably aws).
- You are fluent in English.
- You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable).
- You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering…).
- You are familiar with the shipping industry and/or commodity trading.
- You are comfortable with software engineering best practices.
- You value code simplicity, performance and attention to detail.
- You have experience working in an international environment.