- Accenturefederalservices
- Chantilly, VA
- 14 days ago
Data Scientist - SME.
Before you go
Before you leave us, sign up for our email alerts
We don't do job spam, just the best digital jobs delivered straight to your inbox.
Data Scientist - SME: our view in 3 lines...
- The Role:Seasoned machine learning scientist role for someone with 10+ years of experience building machine learning and generative AI solutions for US federal missions.
- The Person:The person will develop machine learning models and advanced analytics solutions, prototype predictive, classification and optimization solutions, implement LLM fine-tuning, prompt engineering and RAG workflows, and monitor model fairness and governance.
- Requirements:The ideal candidate has a bachelor's degree, 10+ years of experience, and experience with machine learning models, generative AI techniques, large language models, LLM fine-tuning, prompt engineering, and RAG workflows.
About the role
Who you'll be:
We are seeking a seasoned Machine Learning Scientist with over 10 years of experience to develop advanced machine learning models and generative AI solutions. The role is pivotal in powering intelligent products and data-driven decision-making through a comprehensive approach across the full model lifecycle.
What you'll do:
- Develop machine learning models and advanced analytics solutions to support intelligent products.
- Prototype scalable predictive, classification, and optimization solutions.
- Integrate modern generative AI techniques, including LLM fine-tuning and prompt engineering.
- Implement retrieval-augmented generation (RAG) workflows.
- Collaborate with data engineering, product, and MLOps teams to establish rigorous experimental designs.
- Monitor model fairness and governance to ensure ethical AI practices.
- Translate complex algorithmic outcomes into production-ready systems and impactful stakeholder insights.
What you need:
- US Citizen with an Active TS/SCI CIP
- Bachelor's degree in a related field.
- Minimum of 10 years of experience in developing machine learning models and analytics solutions.
- Proven experience in working with generative AI techniques and large language models.
- Strong understanding of data exploration, feature engineering, validation, and refinement.
- Excellent collaboration skills to partner with cross-functional teams effectively.
- Ability to communicate complex technical information to non-technical stakeholders.
- Experience with model lifecycle management and monitoring for bias and fairness.
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

