Data Science and Data Visualization Subject Matter Expert (SME)
$103,800 - $218,100
Apply (opens in a new tab)Data Science and Data Visualization Subject Matter Expert (SME)
Posted 42 days ago
SENIORITY
Senior
SALARY
$103,800 - $218,100
About the role
- Work with cross-functional teams to identify, research, and solve complex analytical problems
- Analyze large data sets to extract meaningful insights
- Design, build, and maintain machine learning models and algorithms
- Collaborate with data engineers to improve data collection and storage processes
- Present findings and recommendations to stakeholders in a clear and actionable manner
- Support broad Data Management requirements, including: Data Strategy, Modeling, and Documentation Data Feed Identification Infrastructure Management Data Ingestion and Feed Automation Data Transformation Data Catalog and Metadata Management Data Quality Management Data Governance
- Evaluate and integrate emerging AI/ML tools and frameworks to enhance analytic capabilities and operational efficiency
- Active TS/SCI Clearance with CI Polygraph
- Minimum of 7 years overall experience and 5+ years of related experience as a Data Scientist, Data Analyst, or similar role
- Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, or a related field
- Proficiency with data visualization tools such as Tableau and Power BI, including data connection, manipulation, and visualization
- Hands-on experience with LLMs and generative AI frameworks
- Knowledge of statistical analysis methodologies and data visualization practices
- Excellent problem‐solving skills and attention to detail
- Strong communication and collaboration skills
- Ability to work independently and manage multiple projects simultaneously
- Tableau Certified Professional (Preferred)
- Current Security+ or DoD 8570 IAT Level II Certification
- Experience with scripting in Tableau (automation, troubleshooting, integration, performance optimization)
- Proficiency in Python, R, SQL, and other relevant programming languages
- Experience with machine learning, predictive modeling, and data mining
- Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes)
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
