Overview
Remote
On Site
USD 120,001.00 - 160,000.00 per year
Full Time
Skills
Data Modeling
Ideation
Cyber Security
Prototyping
Regulatory Compliance
Authorization
Data Engineering
Customer Experience
User Experience
Focus Groups
Wireframe
Mockups
Information Architecture
Algorithms
Data Analysis
Innovation
Research
Agile
Emerging Technologies
Computer Science
Statistics
Mathematics
Data Science
Analytics
Security Clearance
Programming Languages
Python
R
SQL
Artificial Intelligence
Machine Learning (ML)
PyTorch
Data Manipulation
Visualization
Tableau
Microsoft Power BI
Big Data
Cloud Computing
Apache Hadoop
Apache Hive
Amazon Web Services
Amazon S3
Amazon SageMaker
Amazon Redshift
Microsoft Azure
Google Cloud
Google Cloud Platform
Version Control
Collaboration
Git
Docker
Machine Learning Operations (ML Ops)
Natural Language Processing
Computer Vision
Deep Learning
Information Technology
Systems Engineering
FOCUS
Job Details
Job ID: 2508473
Location: REMOTE WORK, VA, US
Date Posted: 2025-08-08
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
We are seeking a highly experienced and results-driven Senior Data Engineer with a minimum of 7 years of relevant industry experience. The ideal candidate will have a strong technical foundation in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments. This exceptional position will be a key member of an emerging technologies lab which will support many product teams as they seek to modernize, automate, and innovate their applications. This role requires technical expertise and the ability to design, develop, and engineer the innovation, automation, and modernization of complex projects that drive business value and strategic insights.
Key Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
Develop plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies.
Develop pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications.
Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
Develop reusable code libraries and best practices for modernization and innovation development and deployment.
Stay current with advancements in data science, machine learning, and AI research.
Support Agile product teams in emerging technologies and data strategies.
Analyze data and usage to find patterns and solutions to business challenges.
Qualifications
Required Qualifications:
Bachelors' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum 7 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
Candidates must have lived in the United States for the last 2 years
Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
Technology Stack & Skills:
Programming Languages: Python, R, SQL
AI, ML, NLP Frameworks, models, and tools
Machine Learning & Statistical Tools PyTorch
Data Manipulation & Analysis
Visualization Tools Tableau, Power BI
Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and Google Cloud Platform
Version Control & Collaboration: Git, Docker
Desired Qualifications:
Experience with MLOps, model monitoring, and deployment pipelines.
Familiarity with NLP, computer vision, or deep learning techniques.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Location: REMOTE WORK, VA, US
Date Posted: 2025-08-08
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: Public Trust
Potential for Remote Work: Yes
Description
We are seeking a highly experienced and results-driven Senior Data Engineer with a minimum of 7 years of relevant industry experience. The ideal candidate will have a strong technical foundation in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments. This exceptional position will be a key member of an emerging technologies lab which will support many product teams as they seek to modernize, automate, and innovate their applications. This role requires technical expertise and the ability to design, develop, and engineer the innovation, automation, and modernization of complex projects that drive business value and strategic insights.
Key Responsibilities:
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.
Develop plans for AI/ML/NLP innovations that are compliant with USPTO cybersecurity policies.
Develop pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.
Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate certifications.
Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.
Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.
Conduct exploratory data analysis and generate actionable insights from large and complex datasets.
Develop reusable code libraries and best practices for modernization and innovation development and deployment.
Stay current with advancements in data science, machine learning, and AI research.
Support Agile product teams in emerging technologies and data strategies.
Analyze data and usage to find patterns and solutions to business challenges.
Qualifications
Required Qualifications:
Bachelors' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Minimum 7 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role.
Candidates must be able to obtain and maintain a Public Trust clearance based on USPTO regulations
Candidates must have lived in the United States for the last 2 years
Track record of delivering impactful emerging technology value including AI/ML/NLP innovations and data-driven solutions in a cloud native environment.
Technology Stack & Skills:
Programming Languages: Python, R, SQL
AI, ML, NLP Frameworks, models, and tools
Machine Learning & Statistical Tools PyTorch
Data Manipulation & Analysis
Visualization Tools Tableau, Power BI
Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and Google Cloud Platform
Version Control & Collaboration: Git, Docker
Desired Qualifications:
Experience with MLOps, model monitoring, and deployment pipelines.
Familiarity with NLP, computer vision, or deep learning techniques.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.