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Fraud Data Scientist Jobs in Minnesota (NOW HIRING)

MedTech

Minneapolis, MN ยท On-site

$35 - $38/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... fraud. All information and credentials submitted in your application must be truthful and complete.

MedTech

Minneapolis, MN ยท On-site

$39 - $42/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... fraud. All information and credentials submitted in your application must be truthful and complete.

Machine Learning Tutor

Minneapolis, MN ยท 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 ...

Machine Learning Tutor

Edina, MN ยท 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 ...

Machine Learning Tutor

Saint Paul, MN ยท 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 ...

Work with Applied Research scientists, engineers, and customers to understand, prototype, and ... Optimize code for performance and scalability in data intensive environments. * Provide support for ...

MN

$30 - $33/hr

Analyze test data and assist in preparing reports and studies for engineering and scientific teams ... ID Fraud, and MetLife Pet Insurance 401(k) Abbott is a global healthcare leader that helps people ...

Showing results 21-40

Fraud Data Scientist information

See Minnesota salary details

$45.1K

$161.6K

$238.5K

How much do fraud data scientist jobs pay per year?

As of Sep 3, 2026, the average yearly pay for fraud data scientist in Minnesota is $161,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,800.00 and $166,500.00 per year, depending on experience, location, and employer.

What is a fraud data scientist?

A Fraud Data Scientist analyzes transactional and behavioral data to detect, prevent, and mitigate fraudulent activities. They use machine learning models, statistical analysis, and anomaly detection techniques to identify suspicious patterns in financial, e-commerce, or other data-heavy industries. Their role involves working with large datasets, collaborating with fraud investigators, and continuously improving fraud detection systems to minimize financial losses and risks.

What are the typical daily responsibilities of a fraud data scientist?

A Fraud Data Scientist's day often involves analyzing large datasets to detect suspicious patterns, developing and validating machine learning models to predict fraudulent activity, and collaborating with other teams such as compliance and risk management. Additionally, they may respond to real-time fraud alerts, participate in meetings to refine detection strategies, and prepare reports for stakeholders. The role combines technical analysis with ongoing learning about emerging fraud trends, making every day dynamic and intellectually challenging. Teamwork and adaptability are essential, as you'll frequently coordinate with engineers and business leaders to continually enhance fraud prevention efforts.

What are the key skills and qualifications needed to thrive in the fraud data scientist position, and why are they important?

To thrive as a Fraud Data Scientist, you need strong analytical skills in statistics, machine learning, and data analysis, typically backed by a degree in data science, mathematics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of fraud detection tools such as SAS, Hadoop, or relevant certifications like CFE are highly valued. Excellent problem-solving ability, communication skills, and the capacity to work collaboratively with cross-functional teams are important soft skills. These abilities are crucial for identifying and mitigating fraudulent activities while ensuring clear collaboration and actionable insights in a high-stakes financial environment.

What cities in Minnesota are hiring for Fraud Data Scientist jobs?

Cities in Minnesota with the most Fraud Data Scientist job openings:

Infographic showing various Fraud Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 100% In-person job distribution, with an average salary of $161,621 per year, or $77.7 per hour.

Senior Credit Strategy Analyst

Mikinok Enterprises

Minneapolis, MN โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

Mikinok Enterprises has revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback.

We’re looking for a Senior Credit Strategy Analyst to drive credit strategies for Mikinok’s subprime consumer lending portfolio.  This role is critical to balancing growth, profitability, and losses in a fast-moving environment.  You’ll lead strategy development projects from acquisition and underwriting through collections and recovery. This is a high-autonomy, high-ownership role where you'll design experiments, build analytical frameworks that drive multi-million-dollar decisions, and see your work move from hypothesis to production in weeks, not quarters.

You’ll partner closely with Data Science, Engineering, Project Management, and Operations teams to translate insight into scalable credit strategies that materially impact portfolio performance

In this role, you will...

  • Design, implement, and optimize strategies spanning marketing, underwriting, model monitoring, fraud, loan sizing/terms, and — especially — collections and recovery, where disciplined segmentation and treatment testing directly move the bottom line
  • Own policy development and changes including testing, rollout, and post-implementation monitoring
  • Analyze portfolio performance using SQL/Python and BI to OLS to identify trends, risks, and opportunities within key metrics
    • Cost for new account originated 
    • Default rates, Delinquency rates
    • Loss rates and unit economics
    • Repeat behavior and churn 
  • Recommend proactive strategy adjustments based on identified emerging risks and upsides.  
  • Build and evaluate test-and-learn experiments (A/B tests, DOE) across the customer life-cycle by isolating causal drivers of loss, delinquency, and recovery rates to control downside risk
  • Partner with Data Science on model development, performance assessments, and model-strategy alignment across customer life-cycle 
  • Translate technical findings into clear recommendations for senior leadership and present at company-wide quarterly business reviews (QBR)
  • Mentor junior analysts and help establish best practice in data analytics for credit team

Requirements

Mandatory Qualifications

  • Bachelor's Degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school.
  • Elite quantitative & analytical skills.  Proven ability to drive analytical projects and insights (3+ years experience)
  • Strong proficiency in SQL and/or experience using Python for analysis (3+ years)
  • Experience using advanced Microsoft Excel or Google Sheets analytics tools (spreadsheet formulas, pivot tables, statistical add-ins, VBA, data management and merging tools) (2+ years)
  • Demonstrated experience in analyzing data to draw business-relevant conclusions and in data visualization techniques and tools.
  • Ability to work in a fast-paced, collaborative environment
  • Strong interpersonal, leadership, and communication skills

Please Note: We are interested in every qualified candidate who is authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Desired Qualifications

  • Advanced degree in an analytical/quantitative field (Math, Physics, Statistics, Engineering, Computer Science) from a competitive school.
  • 5+ years of experience in complex, data-driven problem solving ideally within financial services or consulting or credit bureau 
  • Hands-on experience with credit bureau, alternative data, lead generation, and behavioral performance data
  • Deep understanding of sub-prime credit dynamics including volatility, adverse selection, and risk layering
  • Exposure to collections strategy or recovery optimization 

Benefits

  • The opportunity to help bring much-needed income and economic development to the Turtle Mountain Band of Chippewa Indians
  • Competitive salary and bonus structure
  • Generous employee benefits plan, including robust healthcare plans, matching 401K, and four weeks of PTO
  • Company-sponsored professional development and training opportunities 

About the Company

Mikinok Enterprises (d/b/a Spotloan) is a leading online direct lender founded in 2012 that utilizes advanced underwriting technology to provide short-term loans to Americans in need. Mikinok is wholly owned and operated by the Turtle Mountain Band of Chippewa Indians of North Dakota, a Federally-recognized Native American Tribe (the “Tribe”).  


Mikinok Enterprises is an integral part of the Tribe’s economic development efforts, and it is an essential provider of employment opportunities on the Tribe’s reservation.  Employment decisions at Mikinok are based on qualifications, ability, and merit.  When qualifications are equal, candidates who are enrolled members of the Tribe will receive preference.  After considering this preference, it is Mikinok’s policy to provide equal employment opportunity to all qualified persons without regard to race, color, religion, sexual orientation, age, disability, or national origin.