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Accenture

Advises businesses and runs their technology

Data Scientist - SME

Data ScienceConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA$109.5k - $213.5kIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Operations Research, Economics, or a related quantitative discipline is required; additional relevant experience may be considered in lieu of a degree.
  • At least 10 years of experience in data science, advanced analytics, statistical modeling, or machine learning is required.
  • Experience developing and deploying predictive analytics and data-driven solutions in production environments is required.
  • Proficiency in Python, R, SQL, and data analysis techniques is required.
  • Experience with statistical analysis, predictive modeling, hypothesis testing, experimentation, and forecasting methodologies is required.
  • Experience working with large and complex datasets from multiple data sources is required.
  • Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar technologies is required.
  • Experience with Generative AI, Large Language Models, and AI-powered analytical solutions is required.
  • Understanding of data exploration, feature engineering, validation, and model evaluation techniques is required.
  • The candidate must be able to communicate complex analytical findings to executive leadership, mission stakeholders, and non-technical audiences.
  • The candidate must be a U.S. citizen and hold an active Top Secret clearance.

Responsibilities

  • Lead the development and implementation of advanced data science, analytics, and machine learning solutions supporting mission objectives.
  • Analyze large, structured, and unstructured datasets to identify patterns, trends, anomalies, and actionable insights.
  • Develop predictive, classification, forecasting, and optimization models to support mission and business decisions.
  • Apply statistical analysis, experimentation, and advanced analytical methodologies to solve complex operational challenges.
  • Develop and deploy Generative AI solutions, including Large Language Models, prompt engineering, and AI-powered analytics capabilities.
  • Design and implement Retrieval-Augmented Generation workflows and knowledge-driven analytical solutions.
  • Conduct data exploration, cleansing, feature engineering, validation, and model performance assessments.
  • Create visualizations, dashboards, reports, and executive briefings to communicate findings to technical and non-technical stakeholders.
  • Collaborate with data engineers, software developers, AI engineers, and mission partners to operationalize analytics solutions.
  • Ensure compliance with data governance, model governance, Responsible AI principles, and organizational standards.
  • Monitor model performance, fairness, explainability, and accuracy throughout the analytics lifecycle.
  • Serve as a trusted advisor and subject matter expert for data science and advanced analytics initiatives.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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