Senior Principal Data Scientist

5w1 month ago

Clarity Innovations

US · Full-time · $165,000 – $210,000

About this role

Clarity Innovations is a trusted national security partner dedicated to safeguarding the nation’s interests. They deliver innovative solutions that empower the Intelligence Community and Department of Defense to transform data into actionable intelligence. This ensures mission success in an evolving world.

The Senior Principal Data Scientist interprets and analyzes complex sets of data using exploratory mathematic and statistical techniques. They coordinate research utilizing unstructured and structured data points while employing programming to clean, massage, and organize the data. Experimentation provides previously undiscovered solutions to command data challenges.

This role supports a close-knit team helping the command empower and leverage its data for more effective analysis and decision making. The work focuses on challenges in Information Warfare, Cyber Operations, Operational Security, and Data Structuring using advanced workflows and secure DevSecOps practices.

At Clarity, the environment is people-focused and set on being a destination employer for top talent. Innovation thrives as careers grow and individuals are valued while tackling the most pressing challenges in national security.

Requirements

Combination of skills in programming, mathematical modeling, statistics, and domain knowledge.
Advanced math and statistics background combined with programming and domain knowledge to create applied mathematical models.
Proficiency in distributed SQL programming, relational and non-relational data queries, Python, R, and machine learning techniques.
Ability to understand and manipulate structured and unstructured large data sets.
Experience designing and maintaining data pipelines and managing ML projects with cloud-native platforms.

Responsibilities

Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
Coordinate research and analytic activities utilizing various data points and employ programming to clean, massage, and organize the data.
Experiment against data points, provide information based on experiment results, and deliver previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build data environments providing data identified by other data professionals.
Design, implement, and maintain data pipelines while planning and managing ML projects on cloud-native platforms.
Apply data mining, natural language processing, and machine learning methodologies to structured and unstructured large data sets.