Jr. Data Scientist

Accenture Federal ServicesAnnapolis Junction, MD
$90,000 - $120,000

About The Position

At Accenture Federal Services (AFS), the mission is to help the US federal government make the nation stronger and safer, and improve the lives of its citizens. AFS, a technology company within Accenture, is recognized as a Glassdoor Top 100 Best Place to Work. It offers a collaborative and supportive community where employees are empowered to grow and thrive through hands-on experience, certifications, and industry training. AFS is looking for a Jr. Data Scientist to support critical national missions by transforming complex data into actionable intelligence. The role involves working in a dynamic, collaborative environment with a team of dedicated professionals to tackle challenging problems.

Requirements

  • Bachelor’s degree in relevant technical field
  • 1 year of experience programming with data analysis software such as: R, Python, SAS, or MATLAB
  • Experience with data visualization tools (e.g.: Tableau, Power BI, D3, etc.)
  • Experience with machine learning
  • Experience with dataset analysis
  • Must have an active TS/SCI with polygraph level clearance

Nice To Haves

  • Familiarity or experience working with AI/ML or Cyber
  • Experience with graph-based algorithms and analytics
  • Familiarity with production-level deployment of machine learning models
  • Experience working with large-scale or complex datasets
  • Knowledge of data mining techniques specific to network logs or structured metadata
  • Experience with cloud-based data analytics platforms
  • Familiarity with agile development methodologies in data science projects
  • Experience with automated feature engineering or model selection tools
  • Knowledge of data privacy and security best practices in analytics
  • Experience in software development
  • Experience in cloud development

Responsibilities

  • Transforming complex data into actionable intelligence.
  • Tackling challenging problems in a fast-paced and rewarding environment.
  • Developing analytics.
  • Analyzing datasets.
  • Developing descriptive, predictive, and prescriptive analytics.

Benefits

  • Hands-on experience
  • Certifications
  • Industry training
  • Wide variety of benefits
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