jazzhr
Data Engineer – Classical Statistics & Machine Learning
BLN24
McLean, USA
Contract
Mid Level
Onsite
Discovered 1 weeks ago
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanFull Job Posting
- Design, build, and maintain ETL/ELT pipelines to ingest data from multiple source systems into the platform’s central data store
- Develop and maintain data ingestion workflows for both batch and near-real-time sources
- Implement data validation, cleaning, and transformation logic to ensure data quality and consistency across pipelines
- Work within a modern lakehouse/cloud data architecture, optimizing pipeline performance and reliability
- Build and maintain data models and schemas that support downstream analytics and reporting needs
- Monitor pipeline health, troubleshoot failures, and implement logging/alerting for data quality issues
- Document data lineage, transformation logic, and pipeline architecture for governance and reproducibility
- Apply classical statistical methods (hypothesis testing, regression, time-series analysis, distributional comparisons) to identify trends, anomalies, and outliers in operational data
- Design and implement benchmarking approaches that compare production data against historical, modeled, or external reference values
- Develop and evaluate machine learning models where appropriate, balancing predictive performance with interpretability for non-technical stakeholders
- Investigate flagged anomalies by digging into underlying data to identify root causes and contributing factors
- Work with SMEs to translate operational questions into analytical approaches, and clearly communicate statistical/ML findings and their limitations
- Account for data sensitivity classifications and governance requirements when designing analyses and models
- Collaborate with visualization-focused team members to ensure outputs of statistical/ML work are presented clearly to stakeholders
- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience)
- 3–5 years of experience spanning both data engineering and data science/statistical analysis
- Strong proficiency in Python, including experience with data engineering libraries (e.g., pandas, PySpark) and statistical/ML libraries (e.g., scikit-learn, statsmodels)
- Hands-on experience building and maintaining ETL/ELT pipelines, including ingestion, transformation, and validation logic
- Solid grounding in classical statistical methods (hypothesis testing, regression, distributional analysis) and practical machine learning techniques
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at BLN24
Senior SAS/Python Model Validation and Modernization Developer
McLean, USA
SeniorFull-time
Discovered 1 weeks agoView →
AWS Cloud Engineer
Fort Belvoir, USA
Discovered 1 weeks agoContract
Senior Application Developer
, USA
Discovered 1 weeks agoFull-time
Senior SAS/Python Model Validation and Modernization Developer
McLean, USA
Discovered 1 weeks agoFull-time
Program Coordinator
McLean, USA
Discovered 1 weeks agoFull-time
Scientific Technical Writer/Editor
McLean, USA
Discovered 1 weeks agoFull-time
Program Manager
McLean, USA
Discovered 1 weeks agoFull-time
Social Science Research Lead
McLean, USA
Discovered 1 weeks agoFull-time
Communications Specialist (San Diego, CA)
San Diego, USA
Discovered 1 weeks agoFull-time