Remote Senior AI Data Scientist - Enterprise ML Lead

Powerhouse Institute Inc.; Washington (District of Columbia); Hybrid; USD 145,000 - 175,000; Full time

Job summary

Powerhouse Institute Inc. is seeking a senior data science leader to drive enterprise AI strategy and deliver production ML solutions in a fully remote role based in the U.S.

You will guide ML model development, governance, and analytics storytelling for executive stakeholders. The ideal candidate has 10+ years in data science/AI, strong Python and MLOps experience, and a track record of deploying scalable AI systems across cloud platforms.

Qualifications

• Must be a U.S. Citizen or Permanent Resident (Green Card holder).
• Must be able to obtain/hold Public Trust or higher clearance.
• Based in the U.S. for the last 3 of the past 5 years.
• 10+ years of experience in data science, ML, or applied AI with deep ML/DL/LLM expertise.
• 6+ years leading enterprise-scale data science initiatives.
• Expert-level Python proficiency with production-grade solutions.
• Proven experience deploying ML models in production.
• Strong MLOps experience and lifecycle management.
• Experience with LLMs, NLP, or generative AI.
• Experience with AI governance, model risk, and ethical AI.
• Experience with MLOps frameworks (MLflow, Kubeflow, Azure ML, SageMaker).
• Experience with big data tools (Spark) and clouds (AWS, Azure, GCP).
• Strong SQL skills for data extraction and analysis.
• Proficiency with Power BI or Tableau for visualization.
• Familiarity with federal AI governance frameworks (NIST AI RMF, OMB guidance).
• Experience handling sensitive data (PII protection).
• Experience with generative AI tooling, RAG frameworks, embeddings, vector databases.
• Strong statistics, experimentation design, and model evaluation skills.
• Ability to process high-volume data and derive insights.

Responsibilities

• Analyze unstructured and semi-structured data using advanced algorithms in distributed and cloud environments.
• Lead enterprise data science and AI strategy; advise on analytics adoption.
• Drive AI/ML initiatives from concept to MVPs and production-ready solutions.
• Translate business problems into analytical frameworks and scalable AI solutions.
• Design, build, and deploy ML solutions (predictive modeling, NLP, LLMs, recommender systems).
• Apply advanced data science methods (deep learning, time series, A/B testing, experimentation).
• Lead hands-on model development in Python with reusable, tested code and feature engineering.
• Collaborate with AI/engineering teams on end-to-end MLOps: versioning, training pipelines, monitoring, drift detection.
• Work with data engineers to build scalable data platforms and cloud-based pipelines.
• Establish model governance, explainability, data quality, and auditability standards.
• Communicate insights to executives with data storytelling and visuals.
• Mentor data science talent and lead cross-functional teams on high-impact AI projects.

Skills

Python

MLOps

SQL

Data Visualization

Cloud Platforms

NLP

LLMs

RAG

Vector Databases

Statistics

Education

BS or MS in data science / CS / statistics

Tools

MLflow

Kubeflow

Azure ML

SageMaker

Spark

Job description

Powerhouse Institute Inc. is seeking a senior data science leader to drive enterprise AI strategy and deliver production ML solutions in a fully remote role based in the U.S.

You will guide ML model development, governance, and analytics storytelling for executive stakeholders. The ideal candidate has 10+ years in data science/AI, strong Python and MLOps experience, and a track record of deploying scalable AI systems across cloud platforms.