Data Scientist

Vivo HealthStaff

Washington, DC, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Working hours

Regular working hours

Job source

www.juju.com

Tech stack

Artificial Intelligence Airflow Big Data Customer Data Management Distributed Systems Django Web Framework Elasticsearch Graph Database Python (Programming Language) Pcap Machine Learning Network Monitoring

+20 more

NoSQL NumPy Tensorflow SQL Databases Web Application Frameworks Pytorch Flask (Web Framework) Apache Spark Git Pandas AI Platforms Scikit Learn Kubernetes Information Technology Dask Apache Kafka Celery Docker Databricks Vulnerability Analysis

Job description

Vivo HealthStaff is recruiting for a Data Scientist with TS/SCI Clearance in the Washington, DC/Northern Virginia area. This is a full-time position supporting a federal government-focused technology company. Regular travel to client sites and secure facilities is expected., Our client is an advanced analytics company supporting both government and commercial sectors. Their AI platform enables users to transform complex data into powerful visualizations and predictive models using no-code tools. The platform is currently deployed across federal agencies and major enterprise organizations., * Utilize the company’s AI platform to develop and deploy production-ready solutions.

Own the full lifecycle of AI solution development from ideation to implementation.
Work with customer data and big data frameworks (e.g., Databricks) to design effective workflows.
Collaborate with cross-functional teams to deliver impactful, explainable AI models.

Requirements

We are seeking a skilled and motivated Data Scientist to support mission-critical analytics and AI/ML deployments., * Active TS/SCI security clearance required.

Must be based in or near Washington, DC/Northern Virginia with access to SCIFs.
Bachelor’s degree in Computer Science or a related field.
3+ years of experience with Python and Python data stack (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.).
1+ year of experience deploying machine learning models in production environments.
1-2 years of experience with SQL/NoSQL databases (e.g., Elasticsearch, graph databases).
Experience with Git, Docker, and/or Kubernetes.
Strong sense of ownership, accountability, and communication skills.

Preferred Skills:

Experience leading projects from within a SCIF environment.
Background in cyber analytics, PCAP/network monitoring, or vulnerability analysis.
Familiarity with distributed systems such as Spark, Dask, Snowpark, or Kafka.
Experience with workflow/task orchestration tools (e.g., Celery, Airflow, Prefect) and web frameworks (e.g., Flask, Django).