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Jobs via Dice
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Sr Data Engineer AI ML

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data
Machine learning
Cloud
+48

Visa

U.S. visa required

Permanent role
3 days ago
Apply now

Job ID: 2508958

Location: REMOTE WORK, VA, US

Date Posted: 2025-08-20

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 Scientist with a minimum of 8 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:

Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Minimum 8 years of relevant experience in data science, analytics, machine learning, artificial intelligence or a similar role. (additional experience may be substituted for education).

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: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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