Remote Sr. Data Scientist in Fraud Analytics | WFH

Job Overview

Elevate your career by joining our innovative and dynamic team as a Senior Data Scientist specializing in Fraud Analytics. In this pivotal role, you will leverage your expertise to empower businesses and individuals alike, contributing to our mission of enhancing and simplifying the health and wealth journey. As a respected, client-focused organization, we are dedicated to delivering impactful results with integrity, creating a significant difference in our community.

Key Responsibilities

As a Senior Data Scientist, you will:

• Employ advanced data science techniques to mitigate fraud in consumer-oriented SaaS applications, supporting strategic fraud risk management.
• Develop and deploy sophisticated machine learning and statistical models for effective fraud detection.
• Examine extensive datasets to discern patterns indicative of fraudulent behaviors.
• Create real-time fraud detection systems to identify and flag suspicious transactions.
• Persistently assess and refine fraud detection models to drive enhanced performance.
• Collaborate with compliance and security teams to facilitate informed, data-driven decision-making.
• Generate key performance indicators for fraud prevention and communicate findings to senior leadership.
• Design and optimize algorithms focused on pattern recognition and risk evaluation.
• Work alongside business and risk teams to fine-tune critical metrics and evaluate overall risk exposures.
• Conduct comprehensive assessments of fraud cases to identify improvement opportunities.
• Present analytical outcomes and solutions to internal stakeholders effectively.
• Lead analytical initiatives from conception through execution.
• Remain informed about evolving trends, regulations, and challenges within the fraud and risk landscape.
• Contribute strategic insights and recommendations to bolster overarching fraud protection strategies.
  
  

Required Skills

The ideal candidate will possess:

• 7-10 years of experience in Data Science, Statistics, or a related field.
• Proficiency in programming languages including Python, SQL, and R.
• Familiarity with Docker containers is advantageous.
• Exceptional analytical capabilities paired with a proactive, solution-oriented mindset.
• Strong organizational abilities with a focus on meeting deadlines effectively.
• Meticulous attention to detail and a commitment to accuracy.
• Proficiency in Microsoft Excel, Word, and Outlook.
• Excellent communication skills, both verbal and written.
• Strong multitasking and prioritization abilities.
• A collaborative spirit, eager to learn and adapt quickly.
  
  

Qualifications

To be considered, candidates should have:

• A Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field.
• A minimum of 3 years of experience specifically in fraud analytics.
  
  

Career Growth Opportunities

This position offers tremendous potential for professional growth within a supportive and collaborative environment. You will have the chance to rapidly advance your career by engaging with experienced professionals and embracing new learning opportunities.

Company Culture And Values

We are committed to fostering a diverse and inclusive workplace. If you do not meet every single qualification, we still encourage you to apply. We believe there is no ‘perfect’ candidate and value the unique contributions each individual can bring to our organization.

Join us in making impactful contributions to our community while developing your career in a stimulating and innovative atmosphere.

Employment Type: Full-Time