Lead Data Scientist

About Us:

Sunbit builds financial technology for real life. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point of sale fast, fair, and accessible for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere.

Sunbit was included on the 2022 Inc. 5000 list, and has also been named a Most Loved Workplace®, Best Point of Sale Company, and a Top Fintech Startup by CB Insights.

We invite you to #UnleashYourCuriosity and join our ever-growing R&D organization.

About the position:

Sunbit is seeking an experienced AI/ML Lead to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.

We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape Sunbit’s AI/ML strategy for servicing and operations.

As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with Sunbit’s business goals and innovation vision.

Key Responsibilities:

• Lead the design, development, and deployment of ML models to optimize collections and payments processing.
• Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
• Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
• Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
• Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
• Stay up to date with emerging AI/ML technologies and assess their potential impact on the company’s strategy.
• Mentor and guide team members, fostering knowledge-sharing and technical excellence.

Requirements:

• Preferably M.Sc. or an outstanding B.Sc. graduate in a quantitative discipline (e.g., Data Science, Computer Science, Industrial Engineering, or equivalent).
• Knowledge of Data Science techniques, algorithms, and processes.
• 5+ years of hands-on experience in production environments, preferably involving ranking systems, A/B test design, management, and evaluation.
• Proficiency in data manipulation, visualization, and machine learning packages (pandas/polars, NumPy, scikit-learn, PyTorch).
• Advanced knowledge of SQL.
• Excellent analytical and algorithmic skills, with the ability to infer conclusions and creatively offer solutions based on data analysis.
• Strong teamwork skills, including experience representing the team in a professional manner in front of senior management.
• Effective communication skills, with the ability to explain complex topics clearly in English.
• Proven leadership experience, with strong ownership and independence.

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.