À propos
Key Responsibilities
Design, develop, and deploy machine learning models to solve complex business problems
Own the full modeling lifecycle, including data extraction, cleansing, feature engineering, model development, deployment, and ongoing maintenance
Apply statistical modeling, experimental design, and data mining techniques to derive actionable insights
Work with large-scale datasets in cloud environments (preferably GCP)
Collaborate with cross-functional teams to translate business requirements into technical solutions
Communicate findings and technical concepts clearly to both technical and non-technical stakeholders
Required Qualifications
5+ years of professional experience in a Data Scientist or Machine Learning Engineer role
Expert-level proficiency in Python and key machine learning libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch)
Strong understanding of statistical analysis, modeling techniques, and experimental design
Hands-on experience with SQL and working with large datasets
Experience with cloud platforms, preferably Google Cloud Platform (GCP); experience with AWS or Azure is also acceptable
Excellent communication and presentation skills
Compétences linguistiques
- English
Avis aux utilisateurs
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