Data Scientist (Fraud Analytics) - Suncoast Credit Union : Job Details

OverviewCompensation: $73,000 - $115,000 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 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