Lead and conduct advanced modeling, simulation, and analysis for Joint Integrated Air and Missile Defense Organization (JIAMDO) and Department of War (DoW) customers.
Locations (2)
McLean, Virginia, United States
Huntsville, Alabama, United States
Responsibilities
Support modeling, simulation, and analysis of Blue and Red weapons systems
Use simulation tools, MATLAB, and statistical methods to analyze system trade-offs
Develop system performance metrics
Engage with customers to define requirements and set expectations
Lead identification of critical model elements
Requirements
Master's degree in engineering (aerospace, electrical, mechanical, or systems engineering)
The IT Data Engineer Specialist plays a key role in expanding and optimizing our data analytics platform, strengthening data integrations, and advancing best practices for data governance and management. This position supports clinical and administrative reporting, data visualization, and the efficient flow and collection of data across cross-functional teams.
Responsibilities
Expand and optimize the data analytics platform
Strengthen data integrations
Advance best practices for data governance and management
Support clinical and administrative reporting
Support data visualization
Requirements
Bachelor's degree in technology, clinical or related field
Senior Data Engineer responsible for designing, building, and maintaining data pipelines, data modeling, and ensuring data quality for the CCG EU Information Technology team at Thermo Fisher Scientific.
Responsibilities
Design, develop, and maintain data ingestion, processing, and pipelines
Build reusable components, frameworks, and libraries at scale
Ensure data quality and integrity throughout the data lifecycle
Monitor and optimize performance of data solutions
Support hyper‑care and handover to support teams
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent
Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics.
Responsibilities
Work with customers to deliver ML/DL projects from beginning to end
Select features, build and optimize classifiers using ML techniques
Data mining using state-of-the-art methods and creating text mining pipelines
Develop machine learning algorithms for object and image classification
Develop NLP models such as transformers and attention models
Requirements
Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
Data scientist with strong background in data mining, machine learning, recommendation systems, and statistics.
Responsibilities
Work with customers to deliver ML/DL projects from beginning to end
Select features and build classifiers using ML techniques
Build and optimize predictive models
Deploy completed models to deliver business impact
Create text mining pipelines to clean and process large unstructured datasets
Requirements
Master’s or PhD Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience
Senior Manager focused on Data Architecture and Engineering within the Financial Services sector, leading diverse teams to deliver data and analytics services and drive growth for financial institutions.
Locations (3)
New York, New York, United States
Charlotte, North Carolina, United States
Dallas, Texas, United States
Responsibilities
Part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services
Solving complex issues and driving growth across financial services
Fostering an innovative and inclusive team-oriented work environment
Leading and coaching diverse teams of professionals with different backgrounds
Providing subject matter expertise in defining technical and business approaches
Data Engineer & Insights Analyst for the Commonwealth of Pennsylvania’s Longitudinal Data System (PALDS).
Responsibilities
Create and maintain optimal data pipeline architecture
Design and implement cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda
Build and maintain data orchestration workflows using tools such as Apache Airflow, AWS Step Functions, or similar services
Assemble large, complex data sets that meet functional / non-functional business area requirements
Engineer analytical data environments that support advanced statistical analysis, predictive modeling, machine learning, and evidence-building activities
The role involves designing and building data pipelines, integrating and transforming data from multiple sources, and establishing controls for responsible data use to support the Commonwealth's longitudinal data architecture.
Responsibilities
Create and maintain optimal data pipeline architecture.
Design and implement cloud-based data solutions using AWS services such as S3, Glue, Redshift, EMR, Athena, Kinesis, and Lambda.
Build and maintain data orchestration workflows using tools such as Apache Airflow, AWS Step Functions, or similar services.
Assemble large, complex data sets that meet functional / non-functional business area requirements.
Engineer analytical data environments that support advanced statistical analysis, predictive modeling, machine learning, and evidence-building activities.
Undergraduate or master’s degree in a quantitative field (e.g., engineering, computer science, business, economics, finance, statistics, and/or analytics)
IT Data Engineer SpecialistMain Line Health · Radnor, US
Data Architecture & Engineering - Senior Manager - Financial Services - ConsultingEY · New York, US+2 more