Sr Cloud Machine Learning Engineer

HealthFirst

2d•$119,600 - $194,480

About The Position

The Machine Learning Engineer – Enterprise Analytics, brings the technical rigor of a cloud engineer to the ad hoc analysis of a data scientist. Specifically, they will build out data infrastructure best-practices to support the integration of advanced analytical insights into all aspects of Healthfirst as a business. The ML engineer will get the right information for the right people, and improve the quality of the healthcare experience for 1.4 million New Yorkers. Duties & Responsibilities: You will work with the data science team to develop and deploy and monitor big data scale insights. We will work with the cloud team create, monitor and improve best-practice data architecture design You will work cross-functionally with our cloud development team and product design team. You will shape the direction of advanced analytics at Healthfirst. You’ll build out data pipeline solutions for a wide range of structured and unstructured data, with an emphasis on prototyping and refinement.

Requirements

Bachelor’s Degree from an accredited institution in Computer Science or other quantitative discipline.
1-2 years scripting experience in Python.
Can deploy programming solutions via API’s for ease of application integration.
Experience moving the Jupyter Notebook style prototype into large-scale production.
Words like Java, Scala, Python, Spark, PyTorch, Hive mean something important to you.
Experience presenting to cross functional groups within an organization.
Had some experience working in a cloud platform.
Familiarity with the statistician’s toolset: Regression, hypothesis testing, bootstrapping and machine learning methods.
Adherence to coding reliability/versioning standards.
A concern for reliability and disciplined experimentation with the promotion of new projects.
Excellent teamwork skills
Can apply QA criteria rigorously

Nice To Haves

You have deployed a large-scale software product in a production environment.
Excellent data manipulation skills – Pandas, dplyr, SQL.
Ability to work with large data sets – you can quickly create a data model and summarize information.
Good at picking up new tools to solve new problems.
Can work with traditional databases, NLP methods, audio-signal processing, and NoSQL type databasing.
Worked with pyTorch, TensorFlow, H20
Created statistical analyses/ models / anomaly detection
Knowledge of Medicare and Medicaid regulations as they pertain to managed care organizations.
Knowledge of the healthcare policy landscape.
Experience with Tableau/ Excel
Experience with Agile
Experience with AWS or another cloud computing environment
Master's Degree from an accredited institution.

Responsibilities

You will work with the data science team to develop and deploy and monitor big data scale insights.
We will work with the cloud team create, monitor and improve best-practice data architecture design
You will work cross-functionally with our cloud development team and product design team.
You will shape the direction of advanced analytics at Healthfirst.
You’ll build out data pipeline solutions for a wide range of structured and unstructured data, with an emphasis on prototyping and refinement.