BASED REMOTE

The Machine Learning Specialist advances Advent Health Partners’ machine learning strategy.
Advent has a number of tools designed to display and gather data. This data has deeper
meaning and it is our goal as a company to build a machine learning architecture to maximize
the interpretation of this data in order to develop reliable predictive models

Essential Duties and Responsibilities
● Communicate effectively with executive and clinical personnel
● Identify trends and relationships in the data used for creating and testing hypotheses.
● Mine and analyze structured/unstructured data to create algorithms
● Identify information-rich features in large target datasets
● Formulate innovative solutions to problems where machine learning is applicable
● Collaborate with Principal Scientist, Product Manager, Senior Application Developer and
VP Engineering to produce the best possible end product
● Recommend a scalable, reliable hardware/software/saas platform
● Maintain discussions of proposed features as Github Issues
● Tweak and debug in collaboration with peers
● Maintain Slack conversations during working hours
● Provide work effort estimates to management to assist in setting priorities
● Deliver timely work in accordance with estimates
● Solve problems as they arise and communicate potential roadblocks to manage
expectations
● Adhere strictly to all security policies.

Minimum Qualifications (Knowledge, Skills, and Abilities)
● Advanced Degree in a quantitative field such as Computer Science, Physics, Statistics,
or related fields is preferred
● 2+ years in machine learning post-doc or professional
● Demonstrated experience working with both structured and unstructured data
● Demonstrated experience in identifying information-rich features and/or strategies for
identifying information-rich features in large datasets

● Knowledge of a variety of machine learning techniques (clustering, classification,
regression, neural networks, etc.) and their real-world advantages/drawbacks
● Strong programming skills in Python and relevant ML libraries such as scikit-lern,
TensorFLow and PyTorch.
● Experience in using NLP modules within Python
● Familiar with OCR modules within Python
● Experience in healthcare industry is a plus
● Experience in applying core Machine Learning methodologies: Regression, Naive
Bayesian classifier, Clustering, Matrix Factorization, k-Nearest Neighbors, Natural
Language processing, Decision trees, Support Vector Machines, Neural Networks/ Deep
Learning, Convolution Neural Networks
● Experience with AWS
● Proficient in REST, JSON
● Understanding of unit testing
● Strong written and verbal communication skills
● An experienced grasp of version control, branches and git in particular
● Thorough understanding of working in development, staging and production
environments
● Unix-related skills including installation with apt-get, compiling from source, intermediate
shell scripting