Fraud AI / Data Senior Consultant (remote)

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

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$113,000.0 - $188,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Data Structures Data Systems Data Visualization Fraud Prevention and Detection R (Programming Language) JSON Python (Programming Language)
+14 more
Machine Learning Power BI Azure Machine Learning SQL Databases Tableau (Software) Extensible Markup Language (XML) Parquet Google Cloud AI Platforms Data Analytics Machine Learning Operations Looker Analytics Databricks Programming Languages

Job description

The AI/Data Senior Consultant leads discrete workstreams and delivers advanced AI and data solutions. This role combines technical depth, client engagement, and mentorship of junior team members while driving real-world AI adoption. Key Responsibilities Design and implement scalable AI and data solutions from requirements to deployment Develop, test, and tune fraud prevention and detection rules in a variety of programming languages Develop and optimize machine learning models and analytics workflows Lead data analytics efforts in detecting fraud, waste, abuse, and improper payments and identifying key areas to target for program/payment integrity improvements Partner with clients to identify AI use cases and translate business needs into solutions Own client deliverables and contribute to executive-level presentations Mentor C2 consultants and review technical work Ensure solutions align with governance, security, and responsible AI standards (as applicable), 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.

Requirements

Must be able to OBTAIN and MAINTAIN a Federal or DHS “PUBLIC TRUST”; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred. Bachelor’s degree from an accredited college/university FIVE (5) or more years of experience in AI, data science, analytics, or engineering THREE (3) or more years of experience in a fraud/payment integrity-related role Strong development expertise in Python/R, SQL, and data modeling Strong statistical and data analytics expertise Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.) Experience developing, testing, and validating machine learning and other AI models at scale Experience with data visualization tools (PowerBI, Tableau, Looker, etc.) Experience with applying data analytics and artificial intelligence in the financial crime compliance and/or fraud, waste, and abuse prevention space Travel will be 25-50% for candidates not located in the DMV or NYC area

What Would Be Nice to Have: Experience building fraud and/or fincrime monitoring rules in one or more programming languages Proven ability to communicate complex concepts to non-technical audiences Experience working for or supporting healthcare technology, healthcare business or healthcare process initiatives Cloud experience (AWS, Azure, GCP) including data and ML services Experience deploying models into production (MLOps) Experience with AI platforms (Databricks, Palantir, Vertex AI, SageMaker) Prior consulting or client-facing delivery experience Federal or State Medicaid experience (directly as an employee or in a consulting role), particularly experience with fraud prevention and detection and/or program integrity experience with Medicaid

Benefits & conditions

The annual salary range for this position is $113,000.00-$188,000.00. 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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