Coordinador Ciencia de Datos
Arca Continental
- Monterrey, N.L.
- Permanente
- Tiempo completo
- Design, deliver and iterate highly scalable code in close collaboration with the data engineering team, adhering to established standards of quality for documentation and coding.
- Apply statistical and machine learning techniques to problems related to forecasting and customer segmentation/classification to add value to our products.
- Take into production trained models and modeling pipelines in an agile framework.
- Serve as a mentor to Jr Data Scientists on your team.
- Design experiments, analyze results and produce trustworthy conclusions from them; present findings to stakeholders.
- Bachelor's degree in Computer Science, Mathematics, Engineering or related field, or a proven track of projects/courses for at least 1 year.
- At least 12 months of experience working with business centered, applied data science projects.
- Medium-advanced coding skills for production-ready code in Python and SQL; experience in Scala is desired.
- Medium-advanced experience in machine learning libraries like scikit-learn and Spark ML.
- Demonstrated knowledge of the theory behind traditional machine learning algorithms.
- Experience in or desire to learn big data technologies like Spark.
- Professional written and spoken English.
- Experience in application deployment in cloud-based infrastructure (e.g. AWS, Azure, GCP).
- Experience in sale/demand forecasting.
- Knowledge of agile project development techniques (e.g. Scrum).
- Experience with deep learning models and frameworks.
- Passion for data-driven decision making.