Data Scientist
About The Position
As a client-facing Data Scientist, you will develop predictive models and algorithms that turn structured and unstructured data into machine learning and artificial intelligence solutions. You will work with and guide a small team of analysts, developers, and data consumers in a fast-paced Agile environment, leading the design, development, and deployment of predictive models for clients. In collaboration with clients, you will identify their questions and challenges and architect data-driven solutions within data-rich environments. You will explain what model predictions mean and how clients can use them to proactively shape mission success.
Requirements
- Experience developing software or data applications using Python and SQL.
- Experience with data visualization techniques and tools such as Power BI or Tableau.
- Experience with modern web application technologies, APIs, or full-stack development.
- Experience in data validation, feature engineering, and preparing complex datasets for machine learning.
- Experience with data modeling, data integration, data transformation, and analytical workflows.
- Experience working directly with end users to discover requirements, validate solutions, and drive adoption.
- Knowledge of statistical analysis and modeling techniques such as regression, classification, or clustering.
- Secret clearance.
- High school diploma or GED.
Nice To Haves
- Experience with Palantir Foundry and Maven Smart System.
- Experience with React, Node.js, Express, FastAPI, MongoDB, Docker, or AWS.
- Experience developing custom data-driven applications or user interfaces for data input and visualization.
- Experience with Agile methodologies.
- Experience developing real-time or event-driven applications.
- Ability to communicate technical information and recommendations to peers, engineers, and analytic customers.
- TS/SCI clearance.
- Bachelor's degree.
Responsibilities
- Guide a small team of analysts, developers, and data consumers.
- Lead the design, development, and deployment of predictive models for clients.
- Work with clients to understand their questions and challenges and architect data-driven solutions.
- Advise clients on the meaning of predictions and how to use them to proactively shape mission success.
- Develop software or data applications using Python and SQL.
- Prepare complex datasets for machine learning, including data validation and feature engineering.
- Work directly with end users to discover requirements, validate solutions, and drive adoption.
Benefits
- Health, life, disability, financial, and retirement benefits.
- Paid leave.
- Professional development.
- Tuition assistance.
- Work-life programs.
- Dependent care.
- Recognition awards for exceptional performance and demonstration of company values.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
High school or GED
