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Data Scientist – Identity Focus

Role overview

Qualifications

  • 3+ years of experience as a data engineer / data analyst
  • 3+ years architecting and engineering Machine Learning/AI based solutions
  • Experience with data platforms and analytics tools (specifically Databricks and Zingg)
  • A minimum of eight (8) to twelve (12) years’ relevant experience

Responsibilities

  • Analyze data related to fraud as a result of identity verification and validation challenges
  • Support existing team with data modeling and making data usable for mission requirements
  • Provide detailed analysis, evaluation and recommendations for improvements and optimization
  • Consult with clients to define needs or challenges and supervise studies and data collection

Key facts

Other skills

  • Communication
  • Collaboration

About the company

PlanIT Group, LLC logo

PlanIT Group, LLC

Staffing & Recruiting

PlanIT Group is an IT and engineering professional services company which provides top-tier talent to various commercial and government customers. We also provide systems and IT infrastructure integration which allows us to bring the talent and manage the implementation. At PlanIT Group, we pride ourselves on being extremely agile, innovative, and forward thinking. At PlanIT Group, we specialize in sourcing and matching skilled professionals to meet the dynamic demands of the digital landscape. With a focus on precision and expertise, we connect companies with the right individuals, driving innovation, and success in the ever-evolving world of technology. Our customers engage us to create solutions to complex mission challenges, and PlanIT delivers. Innovation. Integration. Integrity.

Company details

IndustryStaffing & Recruiting
Company size51 - 200

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Job description

Data Scientist – Identity Focus

Data Scientist with Identity focus dedicated to analyzing data related to fraud as a result of identity verification and validation challenges. This individual will support our existing team with the following requirements:
• 3+ years of experience as a data engineer / data analyst
• 3+ years architecting and engineering Machine Learning/AI based solutions to large scale enterprise problems solving anomaly detection, entity behavior evaluation and prediction, and data quality improvement
• Experience with data platforms and analytics tools (specifically Databricks and Zingg)
• Experience with NoSQL, R, or Python and Spark
• Experience with advanced data modeling and how to make that data usable for meeting mission requirements (including entity resolution)
• Experience implementing of Extract, Transform, Load (ETL) technologies
• Experience in working with highly structured data
• Experience with data visualization packages
• Ability to communicate and collaborate with multiple functional groups

Seeking an individual whose qualifications and/or expertise are exceptional and/or highly specialized or unique; and are typically identified as recognized industry leaders: and typically initiates, supervises, and/or develops requirements from a project’s inception to conclusion for complex to extremely complex programs; and provides strategic and expert advice and technical guidance, to program and project staff.
This individual also provides detailed analysis, evaluation and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; and consults with client to define needs or challenges; while also supervising studies: leading surveys and performing data collection for analyses used to advise and recommend/suggest solutions.

o A minimum of eight (8) to twelve (12) years’ relevant experience.
o A degree from an accredited College/University in the applicable field of services is required. If the individual's degree is not in the applicable field then four additional years of related experience is required.
o Typically performs all functional duties independently.
o Note: Special credentials (licenses and/or certifications) may be required at the Task Order level on a case-specific basis.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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