St. Louis, Missouri / Denver, Colorado / Sterling, Virginia
Top Secret
OVERVIEW:
As a Data Scientist, you will be a member of a team of passionate and collaborative developers and researchers excited about building capabilities that solve real problems the US government needs our help with. This is not an R&D position – but one on an enterprise software team. The focus of this position will be on model maintenance and iterative improvements for an enterprise ML and software solution. You will participate in data science processes by contributing ideas, performing data analysis, designing models, implementing experiments (training & validation), as well as handling all steps in a model’s lifecycle. You’ll be part of a team that mentors each other, our junior data scientists, and developers.
This role is focused on deep learning and machine learning as applied to computer vision. Where similar data science positions from R&D lab groups may build and maintain models within the lab environment, this unique position enables you to receive feedback as your models are used in support of critical missions.
REQUIRED QUALIFICATIONS:
- A Bachelor’s Degree in Computer Science, Statistics, Mathematics or related Engineering discipline
- At least ten (10) years of professional and related experience
- Knowledge and practical experience using a variety of machine learning techniques, for example: linear regression, logistic regression, neural networks, support vector machines, anomaly detection, natural language processing, clustering and classification algorithms
- Experience with Python and modern deep learning frameworks, such as Keras,TensorFlow, pyTorch, caffe
- Strong written and verbal communication skills
- Self-starter that can work with minimum supervision and has good team interaction skills
- Ability to independently complete projects
- The ability to master the art of putting mathematical models into production
- Pride in building well-architected products and in preparing data correctly
- Understand how to avoid logical flaws in the models
- Can objectively investigate systems or models that perform too well
- Willingness to obtain a Security+ certification
DESIRED QUALIFICATIONS:
- Security+ certification
- Experience working within Agile development teams leveraging DevOps methodology
- Experience working within cross-functional teams following a SCRUM/Sprint based project execution
- Experience delivering enterprise software systems for DoD customers
- Basic understanding and practical experience with GEOINT processing techniques
- Master's or PhD in Computer Science, Statistics, Mathematics or related Engineering discipline
CLEARANCE:
