Knowledge of validated approaches for scale-ability, productionalizing models and implementing machine learning applied to expansive and diverse datasets. Experienced user of machine learning and statistical-analysis libraries, such as OpenCV, scikit-learn, Pandas, SciPy, NumPy, Matplotlib, etc. Familiarity with state-of-the-art cloud technologies such as AWS, GCP, Kubernetes, container is a plus. Area of expertise in forecasting and basics of data engineering. An inquisitive mindset and strong analytical skills for complex problem solving, and an aptitude for learning systems quickly. Good-to-Have Excellent interpersonal, organizational written & oral communication and listening skills
Keyskills: machine learning data science data analytics statistical-analysis