Senior Data Scientist - Risk and Fraud Management

6 days ago

Apply Now

Receive Emails with Similar Jobs

HighNote

WebsiteLinkedInAll Job Openings

HighNote is a company specializing in marketing, direct mail, and data analytics services. It offers a range of solutions, including print services, signs, and promotional items, to enhance its clients' brand presence. HighNote uses innovative technologies like HyprMail to integrate digital platforms with traditional direct mail campaigns, ensuring more personalized and effective customer engagement. The company is committed to equity and inclusion, being WBENC certified to support women-owned businesses. With a focus on creativity and problem-solving, HighNote partners with clients to deliver success in dynamic environments.

Direct Mail • Interior Graphics • Signage • Data Management • Print

51 - 200 employees

🤝 B2B

📋 Description

• We are a leading issuing and acquiring payments processor dedicated to providing secure and efficient payment solutions. • Our Risk and Fraud Management team plays a critical role in ensuring the integrity and trustworthiness of our services by proactively identifying and mitigating fraud while delivering exceptional experiences for our customers. • We are seeking an experienced, hands-on Senior Data Scientist to lead our efforts in combating fraud and managing risk across our payment processing platforms. • This individual contributor role is highly technical and strategic, requiring a deep understanding of fraud detection in the payments industry, coupled with strong business acumen. • As the team grows, you will have the opportunity to build and lead a team of talented professionals.

🎯 Requirements

• 10+ years of experience in data science, with significant expertise in fraud detection and risk management within the payments industry. • Hands-on experience developing and deploying machine learning models, including real-time systems. • Proficiency with programming languages such as Python, R, or Scala, and machine learning frameworks. • Strong SQL and data manipulation skills. • Familiarity with fraud detection tools and technologies used by payment providers, such as rule-based systems, behavior analytics platforms, and consortium data. • Excellent problem-solving skills and a proactive mindset. • Outstanding communication and visualization skills. • Strong and demonstrated experience with Looker • Knowledge of risk scoring, identity verification, and anomaly detection techniques. • BS in Data Science, Computer Science, Statistics, or a related quantitative field.

🏖️ Benefits

• Flexible Paid Time Off • 100% healthcare coverage + 75% coverage for dependents • 401k program • Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent • Equity in Highnote • Stipend to build out your home office; internet and phone reimbursement