Data Scientist (37455)

Looking for a fulfilling and challenging role in a dynamic team? I am searching for a skilled Data Scientist to join a multi-functional group of engineers, data scientists, and product owners. You'll take ownership of ML products, using your expertise in Python, ML algorithms, cloud computing, and data processing frameworks. With a minimum of 3 years' experience, an M.S. degree in computer science, proficiency in English and excellent communication skills, you will uphold best practices in code design and boost machine learning infrastructure. Having experience with Apache Airflow, VertexAI, Amazon Sagemaker, MLflow and Domino Data Lab will be a bonus. Come develop innovative ML solutions with the team.

🚀 Project
- work closely with multi-functional teams of skilled engineers, data scientists, and product owners who are all passionate about crafting a world-class experience for all Conrad users
- take ownership of implementing, testing, and delivering impactful ML products with respect to performance, reliability, time, and cost using Agile methodologies
- manage & monitor the ML products' performance in production
- contribute to accelerating the impact of ML at Conrad through AI tools and infrastructure
- upholding and promotion of best practices in code design, quality, and efficiency to enhance existing machine learning infrastructure

🎯 Skills
- 3+ years ML
- Python (NumPy, Scipy, Pandas, Scikit
- experience with cloud GCP or AWS
- background in computer science, preferably M.S. degree
- 3+ years of practical experience as a Machine Learning Engineer or a related role
- good understanding of Machine Learning algorithms and software engineering fundamentals
- deep understanding of Python and its ecosystem, especially frameworks oriented to data science and Machine Learning such as NumPy, Scipy, Pandas, Scikit-learn.
- experience with cloud providers such as GCP (preferred), AWS, Azure
- experience with large-scale data processing frameworks like Spark, EMR, Hadoop
- experience with one or more container-ecosystems (Docker, Kubernetes)
- experience with CI/CD in ML context, MLOps
- experience working with REST frameworks (Flask, FastAPI ...)
- experience with distributed run-time systems, their performance optimization, and improving their resilience
- fluent in spoken and written English, good communication skills

💡 Nice to have
- experience with building data pipelines and orchestrating them with Apache Airflow
- experience with platforms for machine learning lifecycle management (VertexAI, Amazon Sagemaker, MLflow, Domino Data Lab)
- experience with streaming data processing
- good understanding of Deep Learning
- foundational knowledge in a Deep Learning Framework like TensorFlow or PyTorch