Data Scientist Python PySpark MLflow Predictive Maintenance Audit...
NavAide - San Diego, California, United States, 92189
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Overview
Position: Data Scientist – Python | PySpark | MLflow | Predictive Maintenance | Audit Analytics About this Role: As a Data Scientist at Navaide, you will support mission-driven federal programs by transforming complex data into actionable insights. Leveraging cutting-edge tools and frameworks, you'll develop machine learning models, perform advanced analytics, and deliver predictive solutions that drive operational efficiency, system reliability, and informed decision-making.
How you will Make an Impact: Your work will directly support initiatives such as predictive maintenance, anomaly detection, and audit analytics, helping federal agencies modernize their data ecosystems and gain real-time visibility into mission-critical operations.
Relevant Skills and Experience:
4+ years of experience in applied data science, machine learning, or advanced analytics
Proficiency in Python and PySpark for large-scale data analysis and modeling
Hands-on experience using MLflow or similar platforms for ML lifecycle management
Experience designing and implementing predictive maintenance models (e.g., survival analysis, classification, time series forecasting)
Familiarity with audit analytics, risk indicators, and internal controls
Strong knowledge of statistics, feature engineering, and model evaluation metrics
Experience working with big data platforms (Databricks, Hadoop, Spark) and cloud environments (Azure, AWS, or GCP)
Ability to communicate complex results to technical and non-technical stakeholders
Duties & Responsibilities:
Design, develop, and deploy scalable machine learning models and pipelines
Perform exploratory data analysis (EDA), feature engineering, and statistical modeling
Lead efforts in predictive maintenance, fault detection, and health monitoring of assets
Conduct audit analytics to detect anomalies, identify trends, and support data-driven compliance reviews
Manage ML workflows using tools like MLflow or equivalent MLOps platforms
Collaborate with data engineers, product teams, and client stakeholders to align analytics with mission outcomes
Document methodologies, models, and outcomes in support of governance and auditability
Security Clearance: Must be eligible to receive a DoD security clearance
Travel: Occasional travel may be required (
Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative field
Join a growing, fast-paced team solving meaningful challenges for the Department of Defense.
For more about us, please check out the following links:
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Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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