Principal Data Scientist
Summary
| Title: | Principal Data Scientist |
|---|---|
| ID: | 1177 |
| Work Location: | Washington, DC |
| Clearance Required: | Public Trust |
Description
Principal Data Scientist with 10+ years of experience in IT systems
US Citizenship is REQUIRED
This is a five month assignment
Must be experienced in leading AI strategy and machine learning development, preferably with experience with fusing commercially available data with agency data to enhance predictive analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high-performing teams to deliver innovative AI systems. Expert in translating complex business problems into revenue-generating, data-driven solutions.
CORE COMPETENCIES • Languages: Python, R, SQL, Scala, C++ • Machine Learning: Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning • Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake • MLOps & Data Viz: Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI
EDUCATION
• Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science (Machine Learning Focus) •
Relevant AWS or Microsoft certifications (Examples below)
o AWS Data Engineer Associate
o AWS Machine Learning Engineer Associate
o AWS AI Practitioner Foundational
o AWS Machine Learning Specialty
o Azure Cosmos DB Developer Specialty
o Azure Data Engineer Associate
o Azure Data Fundamentals
o Azure Database Administrator Associate
o Fabric Analytics Engineer Associate
o PowerBI Data Analyst Associate
o Azure AI Engineer Associate
o Azure AI Fundamentals
o Azure Data Scientist Associate
o Dynamics 365 Customer Insights (Data) Specialty
o Oracle Data Integrator o Oracle Certified Associate
o Oracle Certified Professional
o Python (Entry Level / Associate / Professional)
US Citizenship is REQUIRED
This is a five month assignment
Must be experienced in leading AI strategy and machine learning development, preferably with experience with fusing commercially available data with agency data to enhance predictive analytics. Proven track record of architecting scalable Machine Learning Ops pipelines and mentoring high-performing teams to deliver innovative AI systems. Expert in translating complex business problems into revenue-generating, data-driven solutions.
CORE COMPETENCIES • Languages: Python, R, SQL, Scala, C++ • Machine Learning: Deep Learning, NLP, Computer Vision, Predictive Modeling, Reinforcement Learning • Big Data & Cloud: AWS, GCP, Azure, Spark, Hadoop, Kafka, Snowflake • MLOps & Data Viz: Docker, Kubernetes, MLflow, TensorFlow, PyTorch, Tableau, Power BI
EDUCATION
• Bachelor of Science in Statistics and Mathematics or other related field o preferred Master of Science in Computer Science (Machine Learning Focus) •
Relevant AWS or Microsoft certifications (Examples below)
o AWS Data Engineer Associate
o AWS Machine Learning Engineer Associate
o AWS AI Practitioner Foundational
o AWS Machine Learning Specialty
o Azure Cosmos DB Developer Specialty
o Azure Data Engineer Associate
o Azure Data Fundamentals
o Azure Database Administrator Associate
o Fabric Analytics Engineer Associate
o PowerBI Data Analyst Associate
o Azure AI Engineer Associate
o Azure AI Fundamentals
o Azure Data Scientist Associate
o Dynamics 365 Customer Insights (Data) Specialty
o Oracle Data Integrator o Oracle Certified Associate
o Oracle Certified Professional
o Python (Entry Level / Associate / Professional)
