Senior Machine Learning Engineer + Data Scientist, Aetion

• A BSc/MSc/PhD degree (or equivalent) in mathematics, statistics, computer science, electrical engineering, or a related STEM field
• 5+ years of relevant work experience
• Highly analytical, problem-solving mindset with a demonstrated ability for conducting statistical and machine learning research (in the form of a thesis, publications, or side projects) and independently solving ill-defined problems on data from heterogeneous sources
• Expert in Python and/or R programming for full data science lifecycle (ETL / database connection, data exploration and visualization, cleaning/pre-processing, feature engineering, classification and regression, model evaluation, deployment / monitoring). Example of libraries: Tensorflow/Keras, Pytorch / Scikit-learn
• Proven ability to partner with product teams to define workflows that meet client needs
• Demonstrated excellence in written and verbal communication, in fluent English, with ability to explain complex analyses to a variety of audiences

Desirable

• Work alongside engineering, science, and product to identify and solve high-value machine learning use-cases
• Use a variety of machine learning methods to solve healthcare-related problems using cloud-based technologies
• Design and implement robust, re-usable data/ML pipelines using open-source technology such as Python, Spark, and R. Drive the validation and transparency of these ML models
• Evangelize new ML tools and their benefits with both our internal and client-facing teams; engage with our clients to understand their needs, and how Aetion’s ML tools can meet these needs
• Research topics in machine learning and statistics to stay up-to-date on emerging trends in the field