Senior Data Engineering Specialist
Morgan Stanley
CloudCyber SecurityETLPythonShell ScriptingSparkSQLUnix
Job Level
SeniorLead
Tech Stack
Cyber SecurityETLPythonSQLTableau
About the role
- Support a defense health mission-critical program delivering healthcare analytics and decision support at Analytica
- Work directly with clients in consulting and delivery capacity to solve complex healthcare problems
- Conduct ETL, exploratory data analysis (EDA), and data wrangling to prepare data for modeling
- Develop and present ML algorithms and time-series predictive analytics to improve healthcare outcomes
- Design, develop, and deploy NLP and AI/ML models with unit testing, performance validation, and post-deployment monitoring
- Create interactive dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time analytics
- Collaborate with clinical and operational stakeholders to gather requirements and translate into actionable dashboards
- Execute quality control procedures to ensure data integrity and optimized algorithm/dashboard performance
- Produce documentation: business requirements, technical specs, user training, versioned documentation, and presentation materials to support approvals
Requirements
- Bachelor’s or master’s degree in data science, data analytics, statistics, computer science, health policy, or public health
- Must be able to maintain a Secret security clearance; US Citizen required or ability to obtain Secret clearance
- 7+ years of experience in health data and analytics
- Proficiency in SQL; demonstrated SQL development and query optimization
- Strong knowledge of statistical programming concepts and best practices
- Experience with machine learning development: training/testing sets, validation, target definition, and evaluation criteria
- Hands-on experience with algorithms: regularized regression, random forest, XGBoost, neural networks
- Experience delivering analytic dashboard products (Tableau and/or Power BI) is required
- Experience with ETL, exploratory data analysis (EDA), and data wrangling
- Experience applying time-series methods for predictive analytics
- Experience designing/deploying NLP and AI/ML models with unit testing, validation, and monitoring
- Proven ability to investigate, report, and justify algorithm results and present insights to stakeholders
- Excellent written and verbal communication skills and ability to manage multiple tasks and deadlines
- Experience working with military or veteran healthcare systems (DHA, VA) and understanding of healthcare data and regulatory compliance
