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Senior Data Scientist

Job in Overland Park, Johnson County, Kansas, 66213, USA
Listing for: Shamrock Trading Corp.
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

Posted Tuesday, July 21, 2026 at 6:00 AM

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,wehirebright,ambitious people and give them the tools they need for a successful, long-term career here. Shamrockalsooffers 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…
Position Requirements
10+ Years work experience
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