Fraud AI / Data Consultant

Amazon.com, Inc.
Tysons, VA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$74,000.0 - $124,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Data Cleansing Information Engineering Data Governance Data Structures Data Systems Data Visualization JSON Python (Programming Language)
+16 more
Machine Learning Power BI Tensorflow Standard Sql Tableau (Software) Extensible Markup Language (XML) Lexis Parquet Feature Engineering Pytorch Model Validation Scikit Learn Data Analytics Looker Analytics Databricks Programming Languages

Job description

The AI/Data Consultant supports the design, development, and delivery of data-driven and AI-enabled solutions for clients. This role focuses on hands-on analytics, data engineering, and applied AI use cases while building consulting, client-facing, and technical fundamentals. Key Responsibilities

  • Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
  • Develop, test, and tune fraud and FinCrime prevention and detection rules in a variety of programming languages
  • Analyze structured and unstructured datasets to generate actionable insights
  • Assist in data preparation, feature engineering, and model validation
  • Translate business requirements into technical specifications under guidance
  • Contribute to client deliverables, documentation, and presentations
  • Collaborate with data engineers, data scientists, and business stakeholders
  • Apply responsible AI, data governance, and security principles in delivery, All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee., This position requires that the candidate selected be a US Citizen. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join…

  • 11 days ago

Requirements

  • Bachelor’s degree from an accredited college/university
  • Based on our contractual obligations, candidate must be located within the United States and US Citizen
  • Must be able to OBTAIN and MAINTAIN a Federal or DoD ā€œPUBLIC TRUSTā€
  • 1 years of experience in data analytics, data engineering, or data science (6 months of relative intern experience may be used as part of the 1 years required experience)
  • Strong proficiency and development experience in Python and SQL
  • Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.)
  • Experience with data visualization tools (PowerBI, Tableau, Looker, etc.)
  • Exposure to cloud platforms (AWS, Azure, or GCP)
  • Strong analytical, problem-solving, and communication skills
  • Preference will be given to candidates located in the DMV
  • Travel will be 25-50% for candidates not located in the DMV

What Would Be Nice to Have:

  • Familiarity with R a plus
  • Exposure to ML libraries (scikit-learn, TensorFlow, PyTorch)
  • Experience building fraud and/or fincrime monitoring rules in one or more programming languages
  • Hands-on experience developing, testing, and validating machine learning and other AI models at scale
  • Experience with platforms such as Databricks or Palantir
  • Consulting, healthcare, financial services, or public sector experience
  • Federal Agency experience
  • LexisNexis product API integration experience

Benefits & conditions

The annual salary range for this position is $74,000.00-$124,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

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