As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems.
This role is cybersecurity-focused and may also require that you conduct or contribute to an assessment of the client’s state of preparedness, (technical, cultural, and workforce) to integrate data analytics into their daily operations.
You will also create and deploy predictive models from a variety of data sources and types using the latest mathematical and statistical methods.
Requirements & Skills:
Ability to work on-site for 36-40 hours during a typical week
TS/SCI with a CI-Polygraph
Advanced Degree in technical field (M.S, or PhD) and 3-6 years of related work experience, OR B.S. in a technical field with 4-7 years of work experience (equivalent experience many be considered in lieu or in combination with education requirements)
Proficient with one or more of the following programming languages (Java, C++, Python, R)
Demonstrated experience applying data science methods to real-world problems.
Knowledge and experience in data wrangling, advanced statistical data analysis, and modeling
Capable of communicating complex models and concepts in non-technical language
Comfortable learning new things and working outside of your comfort zone
Experience working with some of the following technologies: AWS, Azure, NoSQL databases (MongoDB, DynamoDB, Redis, HBase, Cassandra, Accumulo, Neo4j, etc.), Caffe/TensorFlow/Keras/etc, Hadoop, Spark
Proficiency with SQL
Experience in consulting; this includes preparing and presenting organizational and technology assessments
Familiarity with more than one relational database (Oracle, PostgreSQL, etc.)
Proficiency with unsupervised, semi-supervised, and supervised learning algorithms and technologies
Experience building models that will be deployed to real-time environments
Familiarity with the data science lifecycle (CRISP-DM, etc.)
