Data Scientist 4

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

81% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist 4 Annapolis Junction, MD At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! We are seeking a highly skilled AI/ML Engineer to join our team and support our client in the Annapolis Junction, MD area. This role focuses on developing and deploying AI/ML solutions while ensuring secure, scalable, and efficient operations through automation, containerization, and cloud-native strategies. The ideal candidate is a fast learner with a passion for innovation and adaptability. What you'll be doing: - Develop and deploy AI/ML models, including deep learning, LLM fine-tuning, and retrieval-augmented generation (RAG) - Build and manage containerized applications using Docker and Kubernetes (K8s) - Automate CI/CD pipelines for secure and efficient delivery - Leverage AWS services like Bedrock, SageMaker, and general cloud architecture for scalable deployments - Build secure Linux-based systems and applications, including web apps (Flask/Django) and databases (e.g., graph

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