AI/ML Data Scientist - Hybrid DC, Active Secret

Big Impact Tech (BIT); Tacoma (WA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Big Impact Tech (BIT) seeks an AI/ML Data Scientist to support the DoD Office of Decision Advantage AI team in Washington, DC. You will design, develop, and deploy AI/ML solutions, including NLP, generative AI, and analytics pipelines, to accelerate enterprise decision-making and mission effectiveness.

Join a cross-functional team delivering MVPs, dashboards, and scalable data models while collaborating with architects, engineers, and mission stakeholders in a hybrid, 2–3 days onsite weekly

Qualifications

• Bachelor's degree in Data Science, CS, Math, Statistics, AI, Engineering, or related field.
• 7+ years of experience in data science, ML, AI, or advanced analytics.
• Experience deploying ML models in production environments.
• Strong stats and model evaluation/validation skills.
• Experience with large data environments and Generative AI/LLMs.
• Experience with RAG architecture and cloud environments (AWS/Azure/GovCloud).

Responsibilities

• Design, develop, test, and deploy AI/ML solutions for DoD mission operations.
• Build predictive, prescriptive, NLP, anomaly detection, and Generative AI models.
• Develop MVPs and automation pilots for enterprise scale.
• Create dashboards and analytics to support leadership decisions.
• Support data pipelines, ETL, data cleansing, and data modeling.
• Collaborate with stakeholders to translate use cases into AI/ML solutions.

Skills

AI/ML

Data science

Machine learning

Statistical analysis

Model evaluation

Education

Bachelor's degree in Data Science or related field

Tools

Databricks

Apache Spark

Hadoop

Kafka

Airflow

Job description

Big Impact Tech (BIT) seeks an AI/ML Data Scientist to support the DoD Office of Decision Advantage AI team in Washington, DC. You will design, develop, and deploy AI/ML solutions, including NLP, generative AI, and analytics pipelines, to accelerate enterprise decision-making and mission effectiveness.

Join a cross-functional team delivering MVPs, dashboards, and scalable data models while collaborating with architects, engineers, and mission stakeholders in a hybrid, 2–3 days onsite weekly