Data Scientist

Data Scientist

Requirements

• Bachelor’s Degree in a computer science, data science, computational science, mathematics, or data-related discipline and 10 years of relative experience.
• Compelling data wrangling experience.
• Evidence of independent determination of solution paths for complex problems.
• Active TS/SCI w/ Poly required.
• Significant experience using Python in a data wrangling environment.
• Extract, Transform, Load (ETL) experience.
• Significant experience in creating effective statistical analysis and data visualizations.
• Strong analytical and problem-solving skills with hands on experience with driving analytic insights.
• An interest in and knowledge of AI/ML techniques, including work with LLMs.
• Ability and motivation to self-teach to stay current with leading best practices in analytics.
• Ability to tackle difficult problems specifically working with unstructured textual data.
• Expected to deliver in a fast-paced, team-oriented work environment.
• Must thrive in satisfying analytic requirements from diverse user base.
• Expected to be able to adapt quickly to changing needs across several core areas, including data wrangling, data exploration, data analysis, and data visualization.
• Must have the knowledge and communication skills to articulate trade-offs between analytic techniques, recommend a course of action to clients, and provide effective updates on project outcome uncertainty to leadership.
• Strong interpersonal and team-building skills, as well as clear and concise written, verbal communications and presentation skills.
• Proficient in Microsoft Office products (Word, Excel, PowerPoint).
• The ability to work in a secure, confined location (i.e., SCIF).

Responsibilities

• Coordinate and drive the efforts of a small team of analysts, and additionally coordinate your team’s work with broader pathfinder work across our larger team.
• Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
• Process, cleanse, and verify the integrity of data used for analysis.
• Clearly document and present methodology, assumptions, and findings.
• Consult with subject matter experts to create relevant and effective tracking metrics.
• Provide analyses that contribute to a process lifecycle.
• Evaluate and test how emerging AI/ML methods might enhance both our analyses and the work of the engineers we’re supporting.

Preferred Qualifications

• Master’s Degree in a computer, mathematics, or data-related discipline.
• Knowledge/exposure to system engineering for satellite systems, ground-based mission systems or mission operations.
• Experience with ML/NLP/LLM tools.
• Experience leading teams.
• Experience building complex dashboards (tool agnostic).
• Experience creating effective metrics for complex problems.
• Experience supporting data exchanges and code development in a TS/SCI environment.