Job Description

Role: Data Scientist Clearance: TS/SCI Clearance
Location: (Washington DC / Northern Virginia)
Salary: $160k-$200k + Shares and bonus My client is an innovative company delivering cutting-edge AI and data analytics solutions through an advanced AI platform. They are currently seeking a Data Scientist with an active TS/SCI security clearance to join their growing Platform team. This role offers significant career growth opportunities for those aiming to progress into Lead Data Scientist or Team Manager positions. Responsibilities:
Leverage the capabilities of my client’s AI platform to design and deploy production-level AI solutions for customers.
Take ownership of customer data workflows—from ideation through to deployment of AI models in real-world environments.
Utilize integrations with large-scale data platforms (e.g., Databricks) to build scalable solutions as needed. Requirements: Active TS/SCI security clearance and willingness to work in a SCIF when required.
Reside in or near Washington DC / Northern Virginia to access relevant secure facilities.
Open to regular travel to client locations and military installations.
Bachelor’s degree in Computer Science (or related field).
3+ years of experience writing production-grade Python code.
3+ years of hands-on experience with core Python data libraries (e.g., pandas, numpy, sklearn, tensorflow, pytorch, matplotlib).
At least 1 year of experience deploying machine learning models in production environments.
1–2 years of experience working with SQL/NoSQL databases (e.g., Elasticsearch, graph databases).
3 years of experience using Git or similar version control systems.
At least 1 year of experience with Docker and/or Kubernetes.
Strong sense of ownership and accountability.
Excellent communication skills in English, both written and verbal. Nice-to-Haves:
Demonstrated experience leading project development efforts from a SCIF.
Familiarity with cybersecurity analytics, including PCAP, CVEs, and network monitoring.
Experience integrating with technologies such as Spark, Dask, Snowpark, or Kafka.
Background in web application stacks (e.g., Flask, Django) or task schedulers (e.g., Airflow, Celery, Prefect). Compensation & Benefits:
Competitive salary, equity, and performance-based bonus.
Full benefits package including medical, dental, and vision.
Unlimited paid time off. If you want to know more about this role, please apply below and I will be in contact to discuss the role further.

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