Remote Sr. Data Scientist - Fraud Analytics | WFH

Job Overview

We invite you to take the next step in your career by joining our innovative and client-centric organization. As a Senior Data Scientist specializing in Fraud Analytics, you will have a vital role in enhancing the security of our systems and safeguarding our clients. This position allows you to work in a dynamic environment, whether remotely or from one of our office locations, contributing to our mission of simplifying the health and wealth journey for our clients.

Company Culture And Values

We are deeply committed to fostering a diverse and inclusive workplace that reflects the communities we serve. Our organization values authenticity and encourages applicants from all backgrounds to apply. If you are a motivated and collaborative professional seeking a supportive environment that promotes career advancement, we would like to hear from you.

Key Responsibilities

• Employ data science methodologies to combat fraud in consumer-facing SaaS applications, enhancing decision-making processes for fraud risk management.
• Create and implement sophisticated machine learning and statistical models aimed at detecting fraudulent activities.
• Analyze extensive transactional datasets to uncover trends indicative of fraud.
• Develop real-time fraud monitoring systems to identify and flag suspicious activities promptly.
• Continuously assess and refine fraud detection models to achieve optimal performance.
• Collaborate with compliance and security teams to facilitate data-driven decision-making.
• Generate key performance metrics for fraud protection and communicate findings to senior leadership.
• Design and optimize algorithms for effective pattern recognition and risk assessment.
• Work closely with business and risk teams to define key metrics and evaluate overall risk profiles.
• Conduct comprehensive reviews of fraud cases to identify areas for enhancement.
• Present analytical results and solutions to internal stakeholders.
• Lead analytical projects from inception through to completion.
• Stay informed about evolving trends, regulations, and issues within the fraud and risk landscape.
• Provide strategic insights and recommendations for comprehensive fraud protection strategies.
  
  

Required Skills

• Extensive proficiency in programming languages such as Python, SQL, and R.
• Experience with Docker containers.
• Strong analytical capabilities with a proactive and solution-oriented mindset.
• Excellent organizational skills with an ability to adhere to deadlines.
• Meticulous attention to detail and a commitment to accuracy.
• Proficient in Microsoft Excel, Word (including mail merge), and Outlook.
• Exceptional verbal and written communication skills.
• Ability to prioritize and manage multiple tasks simultaneously.
• Team-oriented individual who is eager to learn new concepts quickly.
• Familiarity with Salesforce CRM is advantageous.
  
  

Qualifications

• 7-10 years of experience in Data Science, Statistics, or related fields.
• Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related discipline.
• Minimum of 3 years of experience focused on fraud analytics.
  
  

Career Growth Opportunities

This position not only offers the chance to make a significant impact on our fraud prevention initiatives but also provides ample opportunities for professional development and career advancement within a supportive and innovative environment. By joining our team, you will enhance your skills and expand your professional network as you collaborate with talented individuals committed to excellence.

Employment Type: Full-Time