Jr. Data Scientist

Accenture Federal ServicesAnnapolis Junction, MD

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, with over 13,000 employees, focuses on leveraging technology and innovation for clients in defense, national security, public safety, civilian, and military health organizations. AFS is recognized as a Glassdoor Top 100 Best Place to Work, offering a supportive community that encourages growth, learning, and development through hands-on experience and training. The company is seeking a Jr. Data Scientist passionate about using data to solve complex problems and drive impactful outcomes. This role involves transforming complex data into actionable intelligence within a dynamic and collaborative team environment, tackling challenging problems in a fast-paced setting.

Requirements

  • Bachelor’s degree in a 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.
  • Experience developing analytics.
  • 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.
  • Analyzing datasets.
  • Developing descriptive, predictive, and prescriptive analytics.

Benefits

  • Hands-on experience.
  • Certifications.
  • Industry training.
  • A wide variety of benefits (more information available via link).
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