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SAIC

Senior Data Scientist AI ML

SAIC, Virginia, Minnesota, United States, 55792

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SAIC Minimum Clearance Required None

Job ID 2508475

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

SAIC

is seeking a highly experienced and results-driven

Senior Data Scientist.

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 deep 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 end-to-end 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. Design and 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 data management and data governance plans 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. Mentor more junior data scientists and guide the team in adopting new technologies and techniques. Support Agile product teams as an emerging technologies and data strategies subject matter expert. Analyze data and usage to find patterns and solutions to business challenges. Make low risk plans and present business recommendations and demonstrations to stakeholders in a clear manner based on data architecture best practices.

Qualifications

Required Qualifications

Masters' degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Minimum 10 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 Proven 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 GCP 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. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries Computer Hardware Manufacturing, Defense and Space Manufacturing, and IT Services and IT Consulting Referrals increase your chances of interviewing at SAIC by 2x Get notified about new Senior Data Scientist jobs in

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