Senior Data Scientist - AI Strategy & Production ML

Pyramid Systems, Inc.; Washington, Northern (District of Columbia, KY); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Pyramid Systems, Inc. in Washington, DC seeks a senior data science leader to drive enterprise AI initiatives, ML deployments, and analytics across business and technology teams.

You will shape MLOps practices, guide governance, and mentor cross-functional data scientists while translating complex problems into scalable AI-driven solutions for federal programs and large-scale data platforms. This role requires deep Python, LLMs, NLP, vector databases, and production-grade cloud deployments.

Qualifications

• 10+ years of experience in data science, machine learning, or applied AI.
• US citizenship required
• Proven experience leading enterprise-scale data science initiatives
• Extensive hands-on Python experience delivering production-grade data science solutions
• Proven experience building and deploying ML models in production environments
• Strong experience with MLOps tools, pipelines, and lifecycle management
• Experience with LLMs, NLP, or generative AI applications
• Experience in AI governance, model risk management, or ethical AI
• Prior leadership role on federal programs preferred
• Experience with HUD or federal civilian agencies preferred
• Proven experience implementing MLOps frameworks and production ML systems (e.g., MLflow, Kubeflow, Azure ML, or SageMaker)
• Experience with big data tools (e.g., Spark) and cloud platforms (AWS, Azure, GCP)
• Strong SQL skills for data extraction, transformation, and analysis
• Proficiency with data visualization and BI tools (Power BI, Tableau)
• Familiarity with federal AI governance frameworks, including NIST AI RMF and OMB AI guidance
• Experience working with sensitive data, including PII safeguards
• Expert-level proficiency in Python for data science and ML
• Deep expertise in ML, DL, and LLM-based approaches
• Experience with generative AI tooling, including RAG frameworks and vector databases
• Strong foundation in statistics and experimental design

Responsibilities

• Lead enterprise data science and AI strategy aligned to organizational goals.
• Drive high-impact AI/ML initiatives delivering proofs of concept and MVPs to production.
• Translate complex business challenges into analytical frameworks and scalable AI solutions.
• Design, develop, and deploy ML solutions including predictive modeling, NLP, LLMs, and recommender systems.
• Apply advanced data science techniques: deep learning, ensembles, time series, experimentation.
• Lead hands-on model development in Python; promote reusable code and reproducibility.
• Partner with AI/engineering teams to implement end-to-end MLOps pipelines and monitoring.
• Collaborate with data engineers to build scalable data platforms and cloud-based solutions.
• Establish standards for model validation, explainability, governance, and auditability.
• Communicate insights to executives with data storytelling and visualization.
• Mentor data science talent and lead cross-functional teams on AI solutions.

Skills

Python

ML/DL

MLOps

LLMs/NLP

Data Visualization

SQL

Cloud Platforms (AWS/Azure/GCP)

Big Data (Spark)

Leadership

Ethical AI / Governance

Education

Bachelor’s or Master’s in Data Science / CS / Statistics

Tools

MLflow

Kubeflow

Azure ML

SageMaker

Power BI

Tableau

Vector Databases

Job description

Pyramid Systems, Inc. in Washington, DC seeks a senior data science leader to drive enterprise AI initiatives, ML deployments, and analytics across business and technology teams.

You will shape MLOps practices, guide governance, and mentor cross-functional data scientists while translating complex problems into scalable AI-driven solutions for federal programs and large-scale data platforms. This role requires deep Python, LLMs, NLP, vector databases, and production-grade cloud deployments.