Fraud Data Scientist

Suncoast Credit Foundation; Orlando (FL); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player seeks a Data Scientist to innovate fraud prevention strategies using machine learning and data analysis. In this dynamic role, you'll employ your expertise to design data architectures and develop machine learning models that enhance member experiences while minimizing fraud exposure. You'll collaborate with cross-functional teams to implement effective solutions, ensuring a seamless experience for users. Join a company recognized for its commitment to employee growth and community involvement, where your contributions will have a significant impact on the organization's success and the safety of its members.

Benefits

Bonus Program up to 12%

401K Matching up to 8%

Medical Coverage

Dental and Vision Coverage

Access to 4,000+ Gyms

Mental Health Resources

PTO Wellness Days

Paid Time Off

Paid Volunteer Hours

Degree Assistance up to $5,000 per year

Qualifications

• 4+ years of experience in machine learning or data science roles.
• Strong Python skills for data analysis and model deployment.
• Bachelor's degree in a quantitative field or equivalent experience.

Responsibilities

• Develop machine learning models to detect and prevent fraud.
• Design and maintain dashboards to monitor fraud trends.
• Collaborate with teams to enhance fraud risk mitigation strategies.

Skills

AI & Machine Learning

Analytics

Cybersecurity

Data Science

Design

Project Management

Education

Bachelor’s degree in math, economics, bioinformatics, statistics, engineering, computer science

Tools

Python (numpy, pandas, sklearn, pytorch)

SQL (Redshift, Snowflake, BigQuery)

Databricks

Job description

Overview

Compensation: $80,000 - $120,000 based on experience and credentials
Location Type: Remote
Position Type: Full Time

The Data Scientist is responsible for core machine learning, designing data architectures, and setting strategic roadmaps to help reduce fraud at Suncoast Credit Union. This individual will partner closely with digital, front-line, and enterprise agility counterparts across model design, implementation, execution, and analysis. The key objective of this role is to provide a frictionless experience for our members while reducing our fraud exposure. An ideal candidate thrives in a fast-paced, constantly improving, start-up environment and focuses on solving problems with iterative technical solutions.

Responsibilities

• Employ statistical, machine learning, and econometric models on large datasets to discover patterns of fraud
• Produce and prototype machine learning models and rules-based systems to prevent fraud
• Consult on fraud risk mitigation for new cross-functional initiatives
• Provide recommendations and action plans for mitigating risk to discover, define, cleanse, and refine the data needed for analysis
• Design and maintain dashboards and rules to identify, track, and monitor fraud trends
• Evaluate, recommend, and support integration work with fraud, front-line, and enterprise agility
• Review fraud rules to improve efficacy
• Maintain knowledge and understanding of current trends, laws, and issues
• Attend educational events to increase professional knowledge
• Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs

Qualifications

• Bachelor’s degree in math, economics, bioinformatics, statistics, engineering, computer science, or other quantitative fields (A comparable combination of work experience and training may be substituted for education requirements)
• 4+ years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
• Strong python experience (numpy, pandas, sklearn, pytorch etc.) across exploratory data analysis, predictive modeling, and applications of ML techniques
• Experience deploying machine learning models to production
• Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery)
• Proven experience leading and delivering improvements with growth and product organizations
• Databricks experience is a plus
• Background in the financial industry or fraud preferred
• Experience in device intelligence data is a plus
• Good verbal, written, and interpersonal communication skills to effectively communicate with team members and external stakeholders
• Ability to influence others through explanation of facts, policies, and practices
• Ability to prioritize tasks by effectively managing competing and changing priorities to meet deadlines
• Accurate, detail-oriented, and organized with task management
• Strong analytical and problem-solving skills with the ability to interpret large amounts of data

Skills

• AI & Machine Learning
  
• Analytics
  
• Cybersecurity
  
• Data Science
  
• Design
• Project Management

Benefits

• Financial Well-Being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
• Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
• Work-Life Balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
• Community Involvement: Paid Volunteer Hours
• Growth: Degree Assistance up to $5,000 per year

For more information, including additional benefits, please visit our benefits website at https://careers.suncoastcreditunion.com/benefits

Company Overview

Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community.
For more information, please visit our careers site at https://careers.suncoastcreditunion.com/