Data Science Manager - Credit Cards

Description

JOB TITLE: Data Science Manager- Credit Cards

LOCATION: Remote US

REPORTS TO: Head of Business Data Analytics

The Company:

Sunbit builds financial technology for real life. Our AI-native platform helps more people get to “yes” at the moments that matter with personalized offers transparent terms and no added consumer fees. In stores practices and service centers across the country Sunbit provides a fast fair pay-over-time option. For everything else the Sunbit Credit Card delivers a modern no-fee credit experience managed in a powerful mobile app.

We are guided by people-centered values: Serve Others Before Self Include Always Connect Genuinely Innovate for Good. These values shape how we build how we support customers and merchants and how we work with each other.

What makes Sunbit different is an AI-native infrastructure that runs through the full customer and merchant journey. Our interconnected AI systems power instant decisioning streamline fraud checks with human-in-the-loop safeguards and enable highly personalized offers at scale. The result is a quick fair and simple experience for consumers and merchants.

We pair this technology with inclusion and transparency. Sunbit delivers industry-leading approval rates — 90%+ in auto service and 85%+ in dental — while maintaining zero consumer fee-based revenue. It is a better way to serve people and merchants proven at scale.

Today Sunbit is available across a nationwide in-person merchant network of 30000+ locations spanning auto service centers dental and optical practices veterinary clinics and other specialty services. We help teams say “yes” more often and help customers move forward with confidence.

The Role:

As a Data Science Manager for Sunbit's Credit Card Portfolio you will work closely with key business stakeholders such as strategy leadership marketing operations product and R&D teams. Your role will focus on developing data-driven solutions to support business success.

You will ensure that business strategies are informed by data conduct proactive data analysis provide actionable insights and monitor portfolio KPIs among other responsibilities.

Requirements

What You'll Own:

• Drive evaluation of competing priorities across business functions and appropriately disposition solutions that are right-sized and scalable

• Drive business growth by identifying new opportunities and hypothesis development using data

• Support business function leaders in planning strategy development and operational management through data

• Measure and evaluate customer funnel performance and identify improvement levers

• Develop A/B test designs to implement a robust test and learn strategy

• Perform ad-hoc analysis ranging from open exploratory data analysis to specific root cause analysis

• Analyze Credit Card engagement and credit performance

• Liaison with data engineering and product to build sustainable and scalable data solutions to address business’ current and future needs

• Own and manage BI reports becoming a focal point for business’ data and analytics needs

• Be a catalyst to help the card business functions operate strategically using data

What You Bring to the Table:

• 6+ years of relevant analytical experience with a Bachelor’s degree or 4+ year of relevant analytical experience with a Master’s degree in quantitative fields like (Analytics Mathematics Statistics Economics Engineering etc.)

• Proficient in SQL and is excited about acquiring new technical skills

• Good verbal written communication and presentation skills

• Knowledge in Sigma (or other BI platform) Python R or SAS is a plus

• 2+ years of experience in Credit Card Loans or other financial services

• Passionate about solving real-world problems with data

• Strong growth mindset and proactive ownership of projects

• Lives the 80/20 principle to maximize efficiency and results

The Perks:

• Join one of LA’s fastest growing startups (2023) A Most Loved Workplace #576 on the 2023 Inc 5000 list and Forbes Fintech 50 (2024) #161 on Deloitte Technology Fast 500 list

• Mission driven + empowered + collaborative

• Competitive pay and stock options

• Unlimited PTO

• Health Insurance options including Medical Dental Vision Life EAP FSA & Maternity Leave

• Newly added HSA and Pet Insurance

• 401K Plan with Matching

• Cell Phone Stipend

• Team based strategic planning + Team owned deliverables

Core Values for Success at Sunbit:

• Serve others before self - Focus on analytics that drive collective progress and support company-wide goals

• Own the impact - Take full responsibility for accuracy and implications of your data insights

• Connect genuinely - Build and maintain strong relationships with internal stakeholders

• Act fast - Demonstrate agility and responsiveness in a fast paced environment

• Include always - Ensure inclusivity in your analytical approach by considering diverse perspectives and impacts

• Innovate for good - Continually seek opportunities to improve and innovate in the realm of data analytics at Sunbit

Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.

Recruitment Fraud Disclaimer

We’ve been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from an @ sunbit.com email address through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age Social Security number bank account details payment of any kind or other unrelated personal information during the application process. Our hiring process always includes interviews either by phone zoom or in person before any offer is made.

If something feels suspicious please contact us at [email protected] to confirm. We ask that you contact [email protected] only about potential instances of fraud. [email protected] does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications we will not respond to nor forward emails about your candidacy that are sent to [email protected] directly and your email about your application will be deleted from our systems.

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