Overview
• Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision and AR/VR visualizations.

• If you get a thrill working with cutting-edge technology and love to help solve customers problems, we d love to hear from you. It s time to rethink the possible. Are you ready?
What You ll Be Doing:
• Confidence with manipulating complex, large and dense datasets with big data tools; must be comfortable with SQL and large database systems
• Ability to Build complex data transformation code
• Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
• Excellent ability to work with structured and unstructured data sets
• Deep experience with R or Python, SQL and running ETL jobs
• Ability to apply supervised and unsupervised machine learning techniques
• Strong understanding of continuous learning and model training
• Knowledge of data labeling, categorization, and structuring techniques
• Expert ability to break down and clearly define problems
• Strong ability to communicate highly technical results to a diverse audience
• Excellent analytical and problem-solving skills

Qualifications & Experience:
• 3-5 years of hands-on experience in data mining and predictive analytics with statistical modeling techniques
• 3-5+ years of experience in networking, infrastructure, or database architectures
• Experience working with data in the AWS ecosystem
• Experience with advanced data science tools
• Experience applying computational algorithms and statistical methods to structured and unstructured data
• MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics or related technical field
• Experience in the cyber security domain
• AWS certifications
• SQL
• Kubernetes is a plus
• Artificial Intelligence
• Predictive Analytics
• Tableau or other visualization tools
• Kafka / Confluent
• CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)