Senior Data Scientist

. Lead the development and deployment of advanced GenAI models, including LLMs and multi-modal systems.

Posted 5/13/2026full-timeArlington • Virginia, Washington • 🇺🇸 United StatesSenior💰 $173,400 - $234,600 per yearWebsite

Tools & technologies

AirflowPythonSparkSQL

Key responsibilities & impact

Lead the development and deployment of advanced GenAI models, including LLMs and multi-modal systems.
Design and implement robust pipelines for model fine-tuning and evaluation.
Develop and evaluate prompt engineering strategies and embedding techniques.
Prototype and productionize GenAI applications that solve complex business problems.
Own model performance evaluation and bias/fairness assessments to ensure ethical deployment.
Collaborate with MLOps and engineering teams to scale model inference and monitor performance.
Provide insights on GenAI strategy, tools, and industry trends to the team.
Mentor junior and mid-level data scientists and contribute to team development.

What you’ll need

Bachelor’s degree in computer science, Machine Learning, Applied Mathematics, Computer Engineering, Software Engineering, Artificial Intelligence, Physics or a closely related field
5+ years of experience in deep learning frameworks
1+ year of experience fine-tuning open-source LLMs and integrating APIs from commercial providers
5+ years of programming experience in Python
Experience with data engineering workflows (e.g., Spark, Airflow, SQL)

Comp & perks

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Hard Skills & Tools

GenAI modelsLLMsmulti-modal systemsmodel fine-tuningprompt engineeringembedding techniquesdeep learning frameworksPythondata engineering workflowsSQL

Soft Skills

mentoringcollaborationteam developmentproviding insights