Transforming problems into analysis plans for data telemetry, metrics, predictive modeling, reporting, and experimentation
Applying or developing tools and pipelines to efficiently collect, clean, and prepare massive volumes of data for analysis
Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy Leading in solving technical problems, creatively meeting product objectives and developing best practices
Leading in solving technical problems, creatively meeting product objectives and developing best practices
Developing predictive algorithms that analyze large scale datatsets and recommend data-driven solutions
Monitoring the performance of Junior Data Scientists and provide practical guidance as needed
Collaborating with stakeholders across Data Science, Engineering & Product Management teams to design and implement software solutions for scientific problems
Qualifiers:
6+ years of experience in a Machine Learning Scientist or a similar role
Proven track record of successfully designing and implementing machine learning solutions in a production environment
Experience in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R)