Cleared Data Scientist

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

27% 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

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Where they hire

State eligibility is not yet verified.

About this role

Cleared Data Scientist Washington, DC 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! The Work: - Analyze & Innovate: Uncover trends and anomalies, turning raw data into strategic intelligence. - Model & Predict: Develop and maintain models using machine learning, AI, and statistical techniques. - Code & Transform: Use Python (pandas, PySpark) and SQL for data parsing, ETL, and complex analysis. - Visualize & Communicate: Create interactive dashboards and visualizations with Power BI, Tableau, or Databricks. - Collaborate & Build: Partner with Data Engineers to define data requirements and support development. - Explore & Experiment: Research and test new tools to solve challenging problems. Here's what you need: - - Experience building NLP, LLM, or using GenAI tools (e.g. LoRA, LangChain, RAG, LLM Fine Tuning or PEFT) - Proficiency in Python (pandas, PySpark) and SQL - Hands-on experience with data

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