Data Science-Python Developer

Location: McLean, VA


• Must have:
• 6+ years’ hands-on experience in Data Science & Engineering positions
• 5+ years of related industry experience in an enterprise environment
• Excellent knowledge of SQL, Python including usage of libraries Pandas, NumPy, SciPy, Scikit-learn
• Knowledge of programming in SAS
• Ability to build data pipelines with data from multiple data sources
• Good ability in exploratory data analysis
• Ability to visualize data in effective ways using visualization libraries such as Matplotlib, Plotly, Seaborn, ggplot
• Experience in source code control systems and Git
• Experience across a variety of technologies such databases (RDBMS & NoSQL), directory services, application servers, network infrastructures, Linux operating systems, and an understanding of fundamental security and data flows within these components.
• Excellent verbal and written communication skills
• Analytical and problem-solving skills
• Self-motivated, driven, and creative individual

• Preferred
• Knowledge of programming in R & MATLAB
• Familiarity with business intelligence tools such as Tableau
• Experience with Flask & Dash
• Experience with Kubeflow

• Nice to have
• Kubernetes
• Jenkins, GIT and Artifactory
• Formal design patterns and industry best-practices
• 2+ years of experience with requirements, design, implementation, integration, and testing for IAM component integration into on-premise and cloud-based applications.
• Scripting languages (e.g., Groovy / Perl / Ruby)
• Experience with the following are differentiators:
• Robot / Sauce Labs
• Security (e.g., PKI, SSL / TLS, Fuzzing, etc.)
• Scaling CI / CD systems and microservices
• Code coverage analysis / static analysis tools
• Agile programming processes and methodologies such as Scrum
• JavaScript / TypeScript / Angular
• HTML5 / Bootstrap

• Education
Bachelor's Degree in Computer Science, Information Technology or equivalent work experience(required)