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Accenture Federal Services
Posted 83 days agoVerified live 23h ago

Jr. Data Scientist

Brief overview

Annapolis Junction, MDIn-person
UndergradOr in progress
$90k–$120k/yrStated range
1+ yrsMinimum
Clearance requiredU.S. government

Job description

Summary

Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve the quality of life for its citizens. They are seeking a Jr. Data Scientist to support critical missions by transforming complex data into actionable intelligence and collaborating with a team to solve challenging problems.

Responsibilities

  • Support our nation's most critical missions
  • Turning raw data into clear insights
  • Transforming complex data into actionable intelligence
  • Join a team of curious and dedicated professionals
  • Working together to tackle challenging problems in a fast-paced and rewarding environment

Skills

  • 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.), machine learning, dataset analysis or developing analytics
  • Must have an active TS/SCI with polygraph level clearance
  • 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, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics

Qualifications

Must Haves

  • 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.), machine learning, dataset analysis or 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, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics

Benefits

  • Hands-on experience, certifications, industry training and more
  • Reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland
  • Accenture Federal Services offers a wide variety of benefits
  • Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed
  • Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired
  • If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter

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