Role overview
- Degree in a quantitative field (Statistics, Mathematics, Physics, Engineering, Computer Science, etc.)
- 1 year of hands-on experience in Data Science / Machine Learning
- Strong understanding of model design and evaluation (feature engineering, tuning, interpretability…)
- Ability to write production-quality Python code using data and ML libraries
- Good understanding of MLOps principles (versioning, reproducibility, monitoring)
- Solid SQL skills and experience with relational databases
- Strong communication skills, able to explain technical concepts clearly
- Fluent in Spanish and English
- Analytical, curious, and solution-oriented mindset
What we're looking for
- Master’s Degree in Data Science, Machine Learning, AI, Applied Mathematics, Statistics, Optimization, or similar.
- Solid software design and testing habit.
- Experience with cloud platforms (Azure, AWS, or GCP)
- Exposure to Big Data tools (Spark, PySpark, Hadoop, Hive, Impala…)
Please read our Data Privacy Policy here.
Tags & focus areas
Used for matching and alerts on DevFound Remote Machine Learning Data Science Ai