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Temporary Fraud Data Scientist Jobs in Kansas (NOW HIRING)

Nuvative Inc

Fraud & Analytics Manager

Wichita, KS · On-site

Collaborate closely with the Data Science team in the development of models & analytics to detect & mitigate fraud risk. * Work within the Analytics department & interdepartmental partners to turn ...

Nuvative Inc

Fraud & Analytics Manager

Wichita, KS · On-site

Collaborate closely with the Data Science team in the development of models & analytics to detect & mitigate fraud risk. * Work within the Analytics department & interdepartmental partners to turn ...

Flora Food Group

R&D Food Scientist

Hugoton, KS · On-site

In this role, you'll assist with trial execution, data collection, and commissioning of new ... Training & Collaboration * Assist in training interns and temporary staff on pilot plant procedures ...

AllSTEM Connections

Data Architect

Topeka, KS · On-site

$73K - $95K/yr

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or ... For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major ...

Varsity Tutors

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

Varsity Tutors

Machine Learning Tutor

Overland Park, KS · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness ...

University of Pennsylvania

$7.25 - $25/hr

Strong ability to read and understand quantitative social science or computational research ... Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The ...

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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 are the most commonly searched types of Fraud Data Scientist jobs in Kansas?

The most popular types of Fraud Data Scientist jobs in Kansas are:

Temporary Fraud Data Scientist jobs near you

Senior Data Scientist

Shamrock Trading Corporation

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Shamrock Trading Corporation rating

9.1

Company rating: 9.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

About Shamrock Trading Corporation
Shamrock Trading Corporation is a family of brands that has been serving the transportation and logistics industries since 1986. Shamrock offers factoring solutions, export financing, third-party logistics, a fuel card program and trucking technology.
Shamrock's mission since the start has been to create value and success for our customers, our partners and our people. Strong ethics, dedication to our customers and close attention to the marketplace are critical to the success and growth of the Shamrock brands. Shamrock is headquartered in Overland Park, Kansas, with multiple offices throughout the U.S. Overland Park is a great place to live, work and play, being conveniently located within driving distance of everything Kansas City has to offer. Housed within the heart of Overland Park, our offices include 4 gorgeous towers on the East and West sides of Metcalf Ave. With a heavy community presence and a winning culture, Shamrock is a great place to work in Overland Park!
Why You'll Love Working Here
Our award-winning culture is a testament to our commitment to growth, recognition and empowerment. From day one, we prioritize employees first, encouraging them to think and act like owners and providing endless opportunities for growth and self-development, both personally and professionally. Shamrock has been recognized as one of America's 2025 "Most Loved Workplaces" by Newsweek.
At Shamrock, we hire bright, ambitious people and give them the tools they need for a successful, long-term career here. Shamrock also offers a premier set of benefits for employees and their families:
  • Training and Development: Ongoing training and professional development opportunities
  • Medical: Fully paid healthcare, dental and vision premiums for employees and eligible dependents, and gym benefits
  • Financial: Generous company 401(k) contributions and employee stock ownership after one year
  • Work-Life Balance: Competitive PTO and fully paid time off opportunities to volunteer within your community

About the Role
Shamrock Trading Corporation is looking for a Data Scientist to join our team with a focus on fraud detection and risk assessment across our factoring, payments, lending, and freight marketplace businesses. Data Scientists partner closely with business stakeholders, analysts, and Machine Learning Engineers to explore data, build and evaluate models, and communicate findings that drive efficiency, enable risk management, and support strategic objectives.
This role will apply statistical, analytical, and machine learning techniques to help Shamrock better identify suspicious behavior, reduce financial loss, improve risk decisioning, and support faster, more confident customer funding decisions. The Data Scientist will work closely with Product, Credit, Risk, Operations, Data Services, Machine Learning Engineers, and business stakeholders to understand fraud patterns, build risk signals, evaluate models, and translate findings into practical business action.
This role is well-suited for a data scientist or advanced analytics professional with experience in fraud, risk, credit, marketplace abuse, payments, lending, logistics, or identity verification who wants to apply those skills to complex real-world problems in freight and financial services.
What You'll Do
  • Translate fraud, risk, and credit questions into analytical and modeling approaches
  • Analyze invoice, funding, payment, carrier, debtor, customer, behavioral, and operational data to identify risk patterns and emerging fraud trends
  • Develop and evaluate analytical and machine learning models to support fraud detection, risk scoring, anomaly detection, and early warning indicators
  • Partner with Product, Credit, Risk, Audit, Operations, and business stakeholders to define risk signals, success metrics, decision thresholds, and model evaluation criteria
  • Coordinate with Machine Learning team to transfer custom models into production deployments and platform integrations
  • Partner with Data Analysts and BI teams to connect fraud and risk initiatives with reporting, monitoring, and business performance metrics
  • Document assumptions, methodologies, data limitations, model performance, and findings to support transparent decision-making
  • Stay current on fraud patterns and risk approaches across factoring, freight, logistics, payments, lending, and marketplace businesses

What You'll Bring
Required
  • Bachelor's degree in a quantitative field (Statistics, Data Science, Analytics, Computer Science, Applied Mathematics, Engineering), or equivalent practical experience
  • Experience with relational databases and SQL
  • Experience using statistical programming languages (Python, R, etc.)
  • Knowledge of modern data platforms or cloud environments (Databricks, AWS, etc.)
  • Experience using Git and collaborative development workflows
  • Experience applying statistical or analytical techniques to real-world business problems (regression, classification, distributions, optimization, etc.)
  • Experience visualizing/presenting data for stakeholders (Power BI, Tableau, etc.)
  • Strong analytical thinking, problem-solving skills, and curiosity about business, fraud, and risk drivers
  • A drive to learn new technologies, fraud patterns, risk techniques, and industry context

Preferred
  • Experience in fraud analytics, risk analytics, credit risk, underwriting, payments fraud, marketplace fraud, identity verification, logistics, freight brokerage, factoring, asset-based lending, SMB lending, commercial lending, or financial services
  • Experience building or supporting fraud detection, anomaly detection, risk scoring, credit scoring, identity risk, or transaction monitoring models
  • Experience working with adversarial risk problems where bad actors change behavior in response to controls
  • Experience with entity resolution, graph analytics, network analysis, behavioral analytics, or relationship-based risk detection
  • Experience working with invoice, payment, bank account, carrier, debtor, customer, document, device, or transaction-level data
  • Experience partnering with Product, Engineering, Operations, Credit, Risk, or Compliance teams to move analytical work into business processes or production systems

Apply Today!
We're so excited to connect with you! If you want to work with forward-thinking people in an award-winning culture, submit your application today.
#LI-MB1 #LI-Onsite
Having trouble submitting your application? Contact us at Recruiting@shamrocktradingcorp.com for support.

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