Are you excited at the prospect of unlocking the secrets held by a data set? Are you looking to solve complex problems found in High Performance Computing (HPC) environments? As a Data Scientist, you can help analyze and enable the efficient management of analytic workflows across HPC clusters. We're looking for people to join a team where you will use machine learning algorithms, DevOps principles and data exploration skills to the benefit of the analytic and performance engineering communities.
This role is more than just coding. We need a Data Scientist who will use their passion to learn new tools and techniques, identify and implement system improvements, and mentor teammates. Using a sound analytic process, youll work with operations engineers and performance engineers to discover, explore and prepare your data, prepare and train your models and evaluate your results. Youll provide training, consulting support, or implementation guidance to other developers and operations engineers. As a technical leader, you'll identify new opportunities to use data science solutions to help your customers meet their toughest challenges. Join us as we build systems to change our clients mission for the better.
Empower change with us.
-5+ years of experience with software engineering
-Experience with container technologies, including Docker or Rocket
-Experience with DevOps techniques and tools, including continuous integration and development
-Knowledge of various Python Machine Learning libraries, including scikit-learn
-Ability to demonstrate software development with Python in a UNIX environment
-TS/SCI clearance with a polygraph
-BA or BS degree or 7+ years of experience in software engineering roles in lieu of a degree
Nice If You Have:
-Experience with using the Atlassian Tool Suite
-Experience with Agile Scrum
-Experience with C++
-Knowledge of container orchestration technologies, including Kubernetes or Mesos
-Knowledge of HPC General Concepts