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Fraud Detection Machine Learning Jobs in Hamilton, OH

Software Engineer AI/ML

Evendale, OH · On-site

$109K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... Ensure responsible AI practices including bias detection, explainability (SHAP, LIME), privacy ...

Software Engineer AI/ML

Evendale, OH · On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning pipelines, models, and LLM-powered applications. This is a multi-faceted ... Ensure responsible AI practices including bias detection, explainability (SHAP, LIME), privacy ...

Operationalizes Machine Learning models as integral element of IT solutions & business process ... Proactive incident detection systems based on multiple data sets, real-time data stream analyses

Operationalizes Machine Learning models as integral element of IT solutions & business process ... Proactive incident detection systems based on multiple data sets, real-time data stream analyses

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Expertisein machine learning, statistical modeling, and dataanalysis,strong experience across the ... Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real-time payments)

ELS IELTS Administrator

Cincinnati, OH · On-site

$33K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Imposter and fraud detection training for Proctors and Speaking Examiners * Ensuring all staff sign ... Our mission is to provide our global community with transformative learning, living and work ...

ELS IELTS Administrator

Cincinnati, OH · On-site

$33K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Imposter and fraud detection training for Proctors and Speaking Examiners * Ensuring all staff sign ... Ourmission is to provide our global community with transformative learning,livingand work ...

Senior Consultant - SAP Concur

Cincinnati, OH

$60.50 - $82.50/hr

... and machine learning. Qualifications Required * Bachelor's degree, or Associate's degree plus 6+ ... Experience with SAP Concur Request and extended solutions such as Concur Detect, Benefits Assurance ...

... and machine learning. Qualifications Required * Bachelor's degree, or Associate's degree plus 10+ ... Experience with SAP Concur Request and extended solutions such as Concur Detect, Benefits Assurance ...

Showing results 21-40

Fraud Detection Machine Learning information

See Hamilton, OH salary details

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How much do fraud detection machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for fraud detection machine learning in Hamilton, OH is $16.81, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $17.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals working in fraud detection machine learning, and how can they be addressed?

Professionals in Fraud Detection Machine Learning often face challenges such as dealing with highly imbalanced datasets, rapidly evolving fraud patterns, and the need for real-time detection. Managing data imbalance requires careful selection of evaluation metrics and specialized algorithms. Staying ahead of new fraud tactics involves continuous model retraining and close collaboration with domain experts. Additionally, integrating machine learning solutions with existing systems often requires cross-functional teamwork with IT, security, and compliance teams.

What is fraud detection using machine learning?

Fraud detection using machine learning involves leveraging algorithms and data analysis techniques to identify suspicious or fraudulent activities in various domains, such as banking, e-commerce, or insurance. These systems analyze large volumes of transaction data to detect patterns or anomalies that may indicate fraud. Machine learning models can adapt over time, improving their accuracy as they are exposed to more data. This approach helps organizations automate and enhance their ability to prevent, detect, and respond to fraudulent behavior efficiently.

What is the difference between Fraud Detection Machine Learning vs Fraud Analyst?

AspectFraud Detection Machine LearningFraud Analyst
CredentialsData science, machine learning certifications, programming skillsFinance, criminal justice degrees, analytical skills
Work EnvironmentData-driven, tech-focused, often in financial or e-commerce sectorsInvestigative, report-focused, in financial institutions or insurance companies
Employer & IndustryTech companies, banks, e-commerce platformsFinancial institutions, insurance firms, retail

Fraud Detection Machine Learning involves developing algorithms to identify fraudulent activities automatically, relying heavily on data analysis and programming. Fraud Analysts manually investigate suspicious cases and interpret data insights. While both roles aim to prevent fraud, Machine Learning specialists focus on building models, whereas Fraud Analysts focus on case investigation and decision-making.

What are the key skills and qualifications needed to thrive as a fraud detection machine learning specialist, and why are they important?

To thrive as a Fraud Detection Machine Learning Specialist, you need strong expertise in machine learning, statistical analysis, and programming languages like Python or R, typically supported by a degree in computer science, data science, or a related field. Familiarity with tools such as TensorFlow, Scikit-learn, SQL databases, and experience with big data platforms or cloud services is highly valuable. Critical thinking, attention to detail, and effective communication are crucial soft skills for identifying complex fraud patterns and collaborating with interdisciplinary teams. These competencies are vital for developing accurate models that protect organizations from financial losses and maintain trust with customers.

What are popular job titles related to Fraud Detection Machine Learning jobs in Hamilton, OH?

For Fraud Detection Machine Learning jobs in Hamilton, OH, the most frequently searched job titles are:

What cities near Hamilton, OH are hiring for Fraud Detection Machine Learning jobs?

Cities near Hamilton, OH with the most Fraud Detection Machine Learning job openings:

Infographic showing various Fraud Detection Machine Learning job openings in Hamilton, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $34,974 per year, or $16.8 per hour.

Principal Data Scientist

Greater Giving, Inc.

Cincinnati, OH • On-site

$165.30 - $249.68/hr

Other

Medical, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description

This position is not eligible for visa sponsorship, now or in the future. Candidates must be a US Citizen or Green Card Holder.

This position is remote in the Greater Boston Area only or hybrid 3 days per week in our Cincinnati, OH or Atlanta, GA office.

Ready to take your career global?

Make your mark at one of the biggest names in payments. We are seeking an experienced and visionary Principal Data Scientist to help scale our Data Science and AI team. In this role, you will collaborate closely with ML software engineers, product managers, and other product delivery teams to build ML models and data‑driven algorithms into robust, scalable, and production‑ready products that optimize the end‑to‑end payment process. You will act as payment subject matter expert and apply strong system and product thinking to create new product concepts, influence and build development roadmaps, design intelligent decision engines, drive cross‑functional initiatives and mentor senior DS/ML engineers. You will balance strategic leadership with hands‑on technical contribution, dividing your time between setting technical direction and actively participating in architecture, design reviews, code reviews, and selected implementation efforts.

What you’ll own

Strategy and vision:

  • Define the technical vision and strategy for new data‑driven product initiatives with a focus on end‑to‑end payment optimization, aligning them with business goals.
  • Develop scalable and reusable capabilities to power real‑time machine learning models (classification, ranking and optimization), enable rapid experimentation at scale, and support continuous monitoring of ML products.

Technical contribution and leadership:

  • Oversee and participate hands‑on in the conceptualization, development, production deployment, operation, validation, and maintenance of ML models and model update systems.
  • Establish and ensure adherence to best practices for ML modeling. Stay abreast of industry trends and emerging technologies in ML and payment optimization, driving adoption of modern tools, frameworks, and infrastructure.
  • Foster a culture of innovation, experimentation, and collaboration. Mentor an elite team of data scientists.

Cross‑functional collaboration:

  • Partner with product, engineering, data, and compliance teams to integrate ML into products.
  • Communicate complex technical concepts clearly to both technical and non‑technical audiences.
  • Collaborate with other Data Science leaders to establish an operating model for machine learning R&D that optimizes end‑to‑end delivery of business value.
What you’ll bring
  • Bachelor’s or master’s degree in computer science, statistics, mathematics, engineering, or related field (PhD preferred).
  • 7+ years in ML research or engineering; 5+ years building large‑scale, real‑time ML systems in production, including significant hands‑on experience.
  • Expertise in machine learning, statistical modeling, and data analysis; strong experience across the ML lifecycle and experimentation processes.
  • Proficiency in Python (Pandas, NumPy, scikit‑learn), strong SQL and database experience (NoSQL and/or graph database experience a plus).
  • Demonstrated ability to lead solution design and execution, translating complex business requirements into actionable technology solutions.
  • Exceptional verbal and written communication skills, with the ability to influence and collaborate effectively across technical and business audiences at all levels, including executive leadership.
It’s a bonus if you have
  • Experience in payments, fintech, or financial services.
  • Knowledge of payment systems (authorization lifecycle, tokenization, fraud/risk, real‑time payments).
  • Experience with cloud platforms (e.g., AWS, GCP, Snowflake, Databricks, Vertex AI).
  • Agile development experience.
  • Experience in large companies, mature ML teams, and/or highly regulated industries.
About the team

Our inclusive and global teams win together every day. We’re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections – it’s unmatched. Come and be part of an ever‑evolving company and get dynamic opportunities that go beyond borders.

#LI-AD1

Salary

Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full‑time position, the good faith estimated annual salary range upon hire is $165,300.00–$249,675.00. This range reflects what we reasonably expect to offer based on the role’s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate’s experience, job‑related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.

EEOC Statement

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.

If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.

Benefits My Health

We offer access to medical coverage that supports the health and wellbeing for you and your family.

My Money

In addition to base salary, you may be eligible for bonuses and/or equity awards, determined by role, level, impact, and our policies.

My Lifestyle

We have a dedicated Wellness Week each year – which includes an extra paid day off – so you can take time to relax, recharge and invest in your wellbeing.

My Family

FLEX, our family inclusion community, offers support for all Globalpayers at every stage, from raising families to caring for loved ones.

My Time Off

We offer paid time off and public holidays so you can rest, recharge and spend time on what matters most.

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