Data Science Systems Engineer

About the Role

• Data explorer and rapid prototyper within the Advanced Concepts and Technology team, Government Services and Solutions.
• Focus on taking rough ideas and messy datasets and developing working solutions for U.S. Government customers, impacting operational environments, national security applications, and defense programs.
• Role suited for individuals energized by open questions and a blank canvas, rather than strictly scoped tickets.

Key Responsibilities

• Investigate internal and external data streams to surface patterns, anomalies, and opportunities informing new engineering and business solutions.
• Rapidly prototype data-driven tools and analytical systems, translating loosely defined ideas into working proof-of-concept solutions with speed and creativity.
• Design and implement data pipelines to ingest, process, and analyze structured and unstructured data from diverse sources (batch and streaming).
• Partner closely with engineers, program managers, and subject matter experts to understand data needs and co-develop novel solutions.
• Evaluate emerging data technologies, AI tools, and analytical frameworks for potential adoption, presenting clear recommendations.
• Communicate technical insights and prototype results clearly to both technical and non-technical stakeholders.
• Engage across teams and data sources to discover possibilities, then build them, moving from insight to working prototype.

Requirements & Tech Stack

• Python proficiency.
• Working knowledge of SQL.
• Demonstrated ability to work with ambiguous, loosely defined problems.
• Strong analytical instincts.
• Hands-on experience with exploratory data analysis (EDA).
• Clear communicator, able to translate technical findings into plain language.
• Self-motivated learner with the drive to independently research and build.
• Eager to pick up new tools, languages, and problem domains.
• Ability to travel up to 25%.

Qualifications

• Completion of Bachelor’s degree or higher in Computer Science, Data Science, Systems Engineering, Mathematics, Statistics, Physics, or related technical field.
• 0-3 years of full-time, relevant industry experience.
• U.S. Citizenship.
• Ability to obtain U.S. Secret Security Clearance.

What Will Help You On The Job

• Working knowledge/experience with AI tools and agents for development, document creation, research.
• Familiarity with batch and streaming data technologies (e.g., Apache Kafka, Spark).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) or distributed data platforms (e.g., Databricks, Hadoop).
• Exposure to ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and experiment tracking tools (e.g., MLflow).
• Experience with time-series analysis, predictive modeling, or statistical testing.
• Experience with data visualization and dashboarding tools (e.g., Tableau, Power BI, Streamlit, Matplotlib).
• Proficiency in R or Scala for data processing and analysis.
• Familiarity with REST APIs and lightweight application development (e.g., Flask).
• Prior internship, research, or project work applying data science to real-world problems.
• Familiarity with containerization (Docker) and version control (Git/CI-CD).
• Linux/Bash experience.

Salary Range: $95,000.00 - $150,000.00 annually (base pay may vary).

For specific work locations (San Jose, San Francisco Bay Area, New York City), the base pay range is $118,000.00 - $177,000.00 annually.

Additional cash or stock incentives, and a range of medical, financial, and/or other benefits may be provided.

This position may be site-based or home-based, with flexible work environment determined by individual roles and teams.

Relocation assistance is available pending eligibility.