Lead Data Scientist

E-Logic INC
Washington, DC, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$115,000.0
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Big Data Fraud Prevention and Detection Open Source Technology

Job description

  • Design analytic approaches, manage model development and testing efforts, and conduct thorough quality control reviews across project lifecycles.
  • Develop analytic rules and models using open-source programming techniques and leading-edge analytic tools for fraud detection use cases.
  • Ideate innovative use cases to detect and prevent fraud, waste, abuse, and mismanagement across large-scale datasets.
  • Track project progress, mitigate technical risks/issues, and conduct rigorous quality control on support teams’ work products prior to final delivery.
  • Communicate technical findings clearly to key stakeholders through strong oral and written presentations.

Requirements

  • Minimum 5 years of hands-on experience developing analytic rules/models for fraud detection using modern tools and industry best practices.
  • 5+ years of hands-on experience coding rules and models using open-source tools/techniques.
  • 5+ years tracking project progress, managing risk, and reviewing contractor/team work products to ensure quality and precision.
  • Strong oral and written communication abilities.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Selecting open source technologies for multi-cloud capability

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