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Temporary Fraud Data Scientist Jobs in Nebraska (NOW HIRING)

... sciences or health related field, nursing, business or public administration, management, program analysis or evaluation of data systems. OR Experience in conducting fraud investigations ...

Recommend optimal risk mitigation techniques while demonstrating basic data analysis capabilities ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

Audit Intern (SOS Temporary)

Lincoln, NE ยท On-site

$13 - $17.50/hr

The Department of Revenue does NOT sponsor Science, Technology, Engineering & Mathematics (STEM ... Performs research and data analysis by searching through all applicable sources. * Assists with ...

New

Audit Intern (SOS Temporary)

Kearney, NE ยท On-site

$13 - $17.25/hr

The Department of Revenue does NOT sponsor Science, Technology, Engineering & Mathematics (STEM ... Performs research and data analysis by searching through all applicable sources. * Assists with ...

New

Audit Intern (SOS Temporary)

Omaha, NE ยท On-site

$14.25 - $19.25/hr

The Department of Revenue does NOT sponsor Science, Technology, Engineering & Mathematics (STEM ... Performs research and data analysis by searching through all applicable sources. * Assists with ...

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Temporary Fraud Data Scientist information

What does a temporary fraud data scientist do?

A Temporary Fraud Data Scientist analyzes large datasets to detect and prevent fraudulent activities within a company, usually on a short-term or project-based contract. They use statistical models, machine learning, and data mining techniques to identify suspicious patterns and anomalies. Their work helps organizations minimize financial losses and improve security measures, often collaborating with other teams like IT, risk management, and compliance. Because the position is temporary, they are typically brought in to address urgent needs, such as investigating a recent spike in fraud or implementing new detection systems.

What are the key skills and qualifications needed to thrive as a temporary fraud data scientist, and why are they important?

To thrive as a Temporary Fraud Data Scientist, you need strong analytical skills, experience with statistical modeling, and a background in data science or a related field, often supported by a relevant degree. Proficiency in programming languages such as Python or R, knowledge of machine learning frameworks, and familiarity with fraud detection systems are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you quickly adapt and collaborate during short-term assignments. These skills are crucial for rapidly identifying fraudulent activities, delivering actionable insights, and ensuring business integrity within limited timelines.

What are some common challenges faced by temporary fraud data scientists when joining an existing analytics team?

Temporary Fraud Data Scientists often face challenges such as quickly adapting to existing data infrastructure, understanding proprietary fraud detection models, and getting up to speed on the organization's specific fraud patterns. Because the role is temporary, there is a need to rapidly build relationships with cross-functional teams, such as compliance, IT, and operations, to access necessary data and insights. Effective communication and the ability to learn organizational processes swiftly are key to delivering impactful analyses within a limited timeframe.

What is the difference between Temporary Fraud Data Scientist vs Fraud Data Analyst?

AspectTemporary Fraud Data ScientistFraud Data Analyst
CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Data Analysis, Statistics, or related; proficiency in data tools
Work EnvironmentProject-based, short-term assignments, often in financial or e-commerce sectorsOngoing role within fraud prevention teams, often in finance or banking
Employer & Industry UsageFinancial institutions, e-commerce, insurance companiesBanking, credit card companies, online retailers

Temporary Fraud Data Scientists focus on developing models and algorithms to detect fraud, often on short-term projects. Fraud Data Analysts analyze data patterns to identify suspicious activity, typically in ongoing roles. Both roles require data analysis skills but differ in scope, tools, and project duration.

What cities in Nebraska are hiring for Temporary Fraud Data Scientist jobs?

Cities in Nebraska with the most Temporary Fraud Data Scientist job openings:

Senior Data Scientist, Machine Learning

First National Bank of Omaha

Omaha, NE โ€ข On-site

$90 - $148/hr

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

At FNBO, our employees are the heart of our storyโ€”and weโ€™re committed to their success! Please see below the details of this career opportunity and how it fits into our organizationโ€™s success.

Summary of the Job:

The Senior Data Scientist, Machine Learning is responsible for the development, implementation, and operationalization of machine learning (ML) and artificial intelligence (AI) models to drive business impact. This role involves working with a team of highly quantitative data scientists and working with a crossโ€‘functional team of engineers, analysts, and business users to deliver innovative solutions, optimizing decisionโ€‘making processes, and enabling automation at scale. The role will ensure that models are effectively managed in accordance with the model risk management governance and integrated into business workflows and deliver measurable value.

Direct Scope and AccountabilitiesModel Development and Deployment

Oversee the endโ€‘toโ€‘end lifecycle of ML/AI models, from ideation and development to deployment and monitoring, including loss prediction, fraud detection, marketing optimization and customer feedback mining. Ensure scalability, reliability, and robustness of deployed models. Establish best practices for model development, including feature engineering, hyperparameter tuning, and model evaluation. Work with key stakeholders (e.g., FNIT, business partners) to implement the model and drive business value in a timely manner.

Model Performance Monitoring

Define KPIs to measure the model performance and impacts. Implement monitoring systems to ensure model accuracy, relevance, and efficiency over time. Continuously refine and optimize models based on feedback and performance metrics.

Model Management and Governance

Ensure that the model development and monitoring practices are in compliance with the FNNI model risk management team. Effectively communicate modeling approaches and results to external regulators and proactively address their suggestions and comments. Monitor and mitigate risks associated with model bias, drift, and interpretability. Maintain transparency and accountability in the deployment of ML/AI solutions.

Innovation

Evaluate and implement cuttingโ€‘edge tools, frameworks, and platforms for ML/AI development and deployment. Stay updated on emerging trends, technologies, and best practices in data science. Drive experimentation and pilot programs to test innovative approaches and solutions.

Collaboration and Stakeholder Engagement

Partner with business units to understand their challenges and deliver tailored modeling solutions. Effectively deliver business values to key stakeholders through innovative ML/AI models. Effectively communicate complex technical concepts to nonโ€‘technical stakeholders in a clear and actionable manner. Build and maintain strategic relationships with external partners, vendors, and research institutions.

Key Performance Indicators (KPIs)
  • Model Performance: Accuracy, precision, recall, and other metrics for deployed models.
  • Business Impact: Measurable improvements in key business metrics influenced by models.
  • Operational Efficiency: Reduction in manual processes and increased automation.
  • Model governance: Compliance with ethical standards and regulatory requirements.
The Ideal Candidate for This RoleQualifications

Education: Masterโ€™s degree or higher in Data Science, Computer Science, Statistics, Mathematics, AI, or a related field.

Experience: Minimum of 3 years of experience in data science or related fields. Proven track record of developing and deploying ML/AI models that deliver business impact. Experience managing crossโ€‘functional teams and complex projects. Proven experience to effectively communicate modeling approaches and results to external regulators and proactively address their suggestions and comments.

Skills and Competencies
  • Expertise in machine learning, deep learning, and statistical modeling techniques.
  • Proficiency in programming languages such as Python, R, and SQL, as well as ML/AI frameworks like Claude.
  • Strong knowledge of data visualization tools (e.g., Power BI) and cloud platforms (e.g., AWS, Snowflake).
  • Exceptional leadership, communication, and stakeholder management skills.
  • Analytical and strategic thinking abilities with a focus on measurable outcomes.

Candidates must possess unrestricted work authorization and not require future sponsorship.

Compensation

Compensation range (base pay): $89,828.00-$148,215.00. This role may have a specific starting pay within this range. Final compensation offer to candidate may vary from posted hiring range based upon work experience, education, and/or skill level.

Work Environment

It is anticipated that the incumbent in this role will work in a hybrid capacity, balancing inโ€‘person collaboration three (3) days a week with remote flexibility two (2) days a week. As part of our team, youโ€™ll experience the energy and relationshipโ€‘building of faceโ€‘toโ€‘face collaboration while still enjoying the flexibility of remote workdays. We provide the tools and technology to ensure seamless transitions between work environments, supporting your productivity wherever you are. Please note that work location is subject to change based on business needs.

Benefits Overview

We offer a variety of benefits designed to keep you and your family physically and financially healthy. Not only do we offer a competitive salary and workโ€‘life balance, we offer benefits to match your needs:

  • Medical
  • Dental
  • Vision Insurance
  • 401k, With Matching Contributions
  • Time Off Programs
  • Health Savings Account (HSA)/Dependent Care
  • Employee Banking
  • Growth Opportunities
  • Tuition Assistance
  • Short-Term/Long-Term Disability Insurance

For additional information regarding compensation and benefits, eโ€‘mail FNBO at TAGAdmin@fnni.com. To ensure you receive a response, include the number of this job (listed below) in the subject line of your message. Job number: R-20261507.

Equal Opportunity & Belonging

FNBO believes that the quality of our employee experience is at the heart of our customer experience. One key pillar of our intended employee experience is Belonging. Belonging means we are committed to fostering a workplace culture where employees of all backgrounds feel valued, recognized, and empowered to be their authentic selvesโ€”no matter their role or where they are in their journey.

FNBO is an equal opportunity employer for all employees and applicants and makes employment decisions without regard to status or identity.

FNBO is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer - Member FDIC. FNBO follows federal law regarding the use of marijuana (this applies to all non-California applicants).

Application Deadline

All our jobs will be posted for a minimum of 5 calendar days. Job postings may come down prior to 5 calendar days based on volume of applicants.

Contact

FNBO would like to offer contact for accessibility. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact HR Solution One via either email or phone using the contact information below. Online (Primary Response Hours: M-F, 8a-5p Central) hrsolutionone@fnni.com Phone (Available: M-F, 10a-2p; Central) (855) 470-3777 (402) 602-3777

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