2

Remote Data Scientist Fraud Jobs in Indiana (NOW HIRING)

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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

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

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

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

... Remote We hire for skills and capabilities, not just credentials - if this role excites you, but ... Data Protection We will never request payments, financial information, or social security numbers ...

Posted today

$89K - $105K/yr

This is a remote role open to any location in continental US Manulife is a leading international ... Review underwriting fraud referrals for appropriateness and assist management with book of business ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Configure and manage map services and data publishing workflows to ensure timely and accurate data ... Bachelor's degree in Geographic Information Systems, Computer Science, Geography, or a related ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Its capabilities include data science, software development, network engineering, intelligence ... Remote or Hybrid work model * Core hours of operation are Monday through Friday, 0600 - 1700. * May ...

Showing results 21-40

Remote Data Scientist Fraud information

What does a remote data scientist fraud do?

A Remote Data Scientist Fraud specializes in detecting and preventing fraudulent activities using data analysis and machine learning techniques. They work from a remote location to gather, analyze, and interpret large datasets to identify suspicious patterns and anomalies. Their role often involves building predictive models, collaborating with engineering and cybersecurity teams, and continuously improving fraud detection systems. By leveraging statistical tools and algorithms, they help organizations minimize financial losses and enhance security.

What are the key skills and qualifications needed to thrive as a remote data scientist fraud?

To thrive as a Remote Data Scientist in Fraud Detection, you need strong analytical skills, a solid background in statistics or computer science, and experience with machine learning, often supported by an advanced degree. Familiarity with tools such as Python, R, SQL, and fraud detection platforms like SAS or Hadoop, as well as knowledge of data visualization and cloud technologies, is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting complex data and collaborating remotely across teams. These skills ensure accurate fraud identification, efficient risk mitigation, and effective cross-functional teamwork in dynamic and distributed environments.

How does a remote data scientist fraud typically collaborate with cross-functional teams?

As a Remote Data Scientist focused on fraud detection, you'll regularly collaborate with engineers, product managers, and risk analysts to design and implement effective fraud prevention solutions. Communication is often facilitated through virtual meetings, collaborative platforms, and shared documentation. You'll be expected to explain complex models and analytical findings in clear, actionable terms to both technical and non-technical stakeholders, ensuring everyone understands the impact of your work. Strong teamwork and proactive updates are essential for keeping projects aligned and ensuring the solutions stay relevant to evolving fraud trends.

What are popular job titles related to Remote Data Scientist Fraud jobs in Indiana?

For Remote Data Scientist Fraud jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Remote Data Scientist Fraud jobs?

Cities in Indiana with the most Remote Data Scientist Fraud job openings:

Infographic showing various Remote Data Scientist Fraud job openings in Indiana as of July 2026, with employment types broken down into 6% Internship, 84% Full Time, and 10% Part Time. Highlights an 100% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Evansville, IN • Remote

Full-time

Re-posted 13 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.