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Fraud Detection Machine Learning Jobs in Hamilton, OH

Industrial Mechanic I

Cincinnati, OH

$23.50 - $30.75/hr

Troubleshoots, inspects and examines machinery and equipment to detect and investigate ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

Industrial Mechanic I

Cincinnati, OH · On-site

$23.50 - $30.75/hr

Troubleshoots, inspects and examines machinery and equipment to detect and investigate ... Our shared values and learning-based culture inspire our team to exceed their potential and power ...

Reliability Engineer

Cincinnati, OH · On-site

$98K - $123K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

... detection and elimination of defects. You will manage the Maintenance Planning team and the ... Monitor the daily inspections of production machines and equipment. Also, inspect all electrical ...

General Labor

Mason, OH · On-site

$15 - $18.75/hr

  • Medical

  • Retirement

  • PTO

With platforms in HVAC and Detection and Measurement, SPX Technologies builds innovative solutions ... Ensure proper and effective operation of machine and tools throughout entire process. Report ...

General Labor

Mason, OH

$15 - $18.75/hr

  • Medical

  • Retirement

  • PTO

With platforms in HVAC and Detection and Measurement, SPX Technologies builds innovative solutions ... Ensure proper and effective operation of machine and tools throughout entire process. Report ...

Maintenance Manager

Dayton, KY

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Technician

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Technician

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Technician

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Manager

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Technician

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Manager

Dayton, KY

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Manager

Dayton, KY · On-site

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Maintenance Manager

Dayton, KY

  • Medical

  • Retirement

  • PTO

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Must be able to hear to detect sounds indicating potential issues, such as machinery noises or ... Opportunities for professional development, career growth, and role-based learning plans

Showing results 41-57

Fraud Detection Machine Learning information

See Hamilton, OH salary details

$10

$16

$25

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.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Cincinnati, OH • On-site

Full-time

Re-posted 26 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Our Deloitte Strategy & Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.
SFL Scientific is a Deloitte Business that is part of our Strategy Offering, within our broader Strategy & Transactions practice mentioned above. This specialized team brings together several key capabilities to architect integrated programs that transform our clients' businesses. We are hiring a Senior Data Scientist to collaborate directly with clients to design and develop novel projects and solutions. Join a rapidly growing team of professionals working to build a world-class data science practice focused on solving complex and R&D problems.

Recruiting for this role ends on 8/31/2026.

Work You'll Do
As a Senior Data Scientist at SFL Scientific, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. You will work closely with clients to understand their data sets, strategy, and operational requirements, in order to drive exploratory analysis and design long-term solutions.

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. Join us to expand your technical career through the lens of consulting and work on novel projects and use cases to expand your data science & AI skills. Key responsibilities include:

  • Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
  • Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
  • Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
  • Validate AI models and algorithm via code reviews, unit, and integration tests
  • Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
  • Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The Team
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.

Specifically, SFL Scientific, a Deloitte Business, is a data science professional services practice focused on strategy, technology, and solving business challenges with Artificial Intelligence (AI). The team has a proven track record serving large, market-leading organizations in the private and public sectors, successfully delivering high-quality, novel and complex projects, and offering deep domain and scientific capabilities. We are advancing both predictive and generative AI technologies while maintaining a commitment to data-driven decision making across all levels of a client's organization, building solutions that drive growth and create meaningful impact. Made up of experienced AI strategists, data scientists, and AI engineers, they serve as trusted advisors to executives, helping them understand and evaluate new and essential areas for AI investment and identify unique opportunities to transform their businesses.

Qualifications

Required:

  • Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
  • 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
  • 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
  • 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
  • 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
  • Live within commuting distance to one of Deloitte's consulting offices
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
  • Limited immigration sponsorship may be available

Preferred:

  • 2+ years of experience working in a client-facing, consulting environment
  • 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
  • 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
  • 1+ year of experience with AWS Sagemaker or AWS ML Studio

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $128,000 to $252,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individu...


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