

Risk & Fraud Data Scientist – SQL / Tableau / AWS
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Risk & Fraud Data Scientist with strong SQL, Tableau, and AWS skills, hybrid in San Jose, CA, for 12+ months. Requires up to 2 years’ experience in risk analytics, a relevant Bachelor’s degree, and proficiency in data visualization.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Jose, CA
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🧠 - Skills detailed
#Data Mining #Visualization #Consulting #Cloud #Project Management #Libraries #Leadership #Python #ML (Machine Learning) #Stories #SQL (Structured Query Language) #Risk Analysis #Data Science #Mathematics #Datasets #Data Analysis #Strategy #AWS (Amazon Web Services) #Tableau #Statistics
Role description
Overview:
Our client, provides automated, cloud-based software for financial operations, and seeks an accomplished Risk & Fraud Data Scientist – SQL / Tableau / AWS.
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• Candidate must be authorized to work in USA without requiring sponsorship
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• Location: Hybrid (Sanjose, CA 95002)
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• Duration: 12+ months
Important Points
• Strong SQL proficiency
• Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
• Proficiency in AWS Quick sight and Tableau
• Strictly contract to cover multiple leaves over a 1 yr. period.
• Potential to extend based on business need and performance.
• Day shift: M-F Pacific time
• Multiple Zoom interviews (2-3) – SQL assessment during 1st interview.
Job Description
We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
Required Skills:
• Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
• Bachelor’s degree in data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• Experience using statistics and data science to solve complex business problems
• Proficiency in SQL, Python, Excel including key data science libraries
• Proficiency in data visualization including Tableau
• Experience working with large datasets
• Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes
• Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
• Desirable to have experience or aptitude solving problems related to risk using data science and analytics
• Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies
Key Job Functions
• Design rules to detect/mitigate fraud
• Develop python scripts and models that support strategies
• Investigate novel/large cases
• Identify root cause
• Set strategy for different risk types
• Work with product/engineering to improvement control capabilities
• Develop and present strategies and guide execution
Expected Outcome in 6-12 months
• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
• Utilize data analysis to design and implement fraud strategies
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
• Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
• Development of dashboard and visualizations to track KPI of fraud strategies implemented
Preferred Skills
• Data analytics and models
• Rule development
• Dashboard Creation
• Project Management
• Strong Communication
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• I'd love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you.
Sam Banga
Lead Technical Recruiter
Company Overview:
Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward.
Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.
Overview:
Our client, provides automated, cloud-based software for financial operations, and seeks an accomplished Risk & Fraud Data Scientist – SQL / Tableau / AWS.
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• Candidate must be authorized to work in USA without requiring sponsorship
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• Location: Hybrid (Sanjose, CA 95002)
•
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• Duration: 12+ months
Important Points
• Strong SQL proficiency
• Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
• Proficiency in AWS Quick sight and Tableau
• Strictly contract to cover multiple leaves over a 1 yr. period.
• Potential to extend based on business need and performance.
• Day shift: M-F Pacific time
• Multiple Zoom interviews (2-3) – SQL assessment during 1st interview.
Job Description
We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation at Bill.com. This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms, preferably in the risk domain.
Required Skills:
• Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
• Bachelor’s degree in data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
• Experience using statistics and data science to solve complex business problems
• Proficiency in SQL, Python, Excel including key data science libraries
• Proficiency in data visualization including Tableau
• Experience working with large datasets
• Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
• Comfortable with ambiguity and yet able to steer analytics projects toward clear business goals, testable hypotheses, and action-oriented outcomes
• Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
• Desirable to have experience or aptitude solving problems related to risk using data science and analytics
• Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies
Key Job Functions
• Design rules to detect/mitigate fraud
• Develop python scripts and models that support strategies
• Investigate novel/large cases
• Identify root cause
• Set strategy for different risk types
• Work with product/engineering to improvement control capabilities
• Develop and present strategies and guide execution
Expected Outcome in 6-12 months
• Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.
• Utilize data analysis to design and implement fraud strategies
• Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.
• Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
• Development of dashboard and visualizations to track KPI of fraud strategies implemented
Preferred Skills
• Data analytics and models
• Rule development
• Dashboard Creation
• Project Management
• Strong Communication
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• I'd love to talk to you if you think this position is right up your alley, and assure a prompt communication, whichever direction. If you're looking for rewarding employment and a company that puts its employees first, we'd like to work with you.
Sam Banga
Lead Technical Recruiter
Company Overview:
Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients’ businesses forward.
Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws.