Senior Data Scientist, Billie
+ Virtual Shares Incentive Program
Buy Now, Pay Later payments for business
Be an early applicant
Buy Now, Pay Later payments for business
101-200 employees
Be an early applicant
+ Virtual Shares Incentive Program
101-200 employees
Company mission
To simplify purchasing for all companies and open up new opportunities for growth.
Role
Who you are
- 5+ years of experience in a data-driven, quantitative, or machine learning role, ideally within fintech or a high-transaction environment
- Advanced proficiency in Python (pandas, scikit-learn, xgboost) and SQL (Snowflake, Postgres, or MySQL), with a strong grasp of data visualization tools like Tableau
- Deep technical expertise in general classification models (classical and deep learning), anomaly detection algorithms, and graph-based networks
- Hands-on experience productionizing ML services, demonstrating a strong understanding of modern MLOps concepts such as containerization (Docker/Kubernetes) and event-driven architectures
- Proven ability to manage stakeholders across both technical and non-technical functions, aligning technical roadmaps with business priorities
- Sharp problem-solving capabilities with the ability to translate complex business challenges into clean, efficient, and scalable technical requirements
- Strong communication skills, with a track record of using data to influence organizational strategy and drive cross-functional engagement
- Experience with ML orchestration frameworks such as Metaflow, Apache Flink, or similar MLOps tooling
- All qualified applicants are welcome and we especially encourage you to apply, even if you don't check every box in the job description
What the job involves
- As a Senior Data Scientist for Fraud Prevention, you will be a key technical pillar within the broader Decision Science group. You will be responsible for designing and building robust, scalable machine learning solutions aimed at preventing fraud. A mission that has a direct and measurable impact on Billie's bottom line
- You will own the end-to-end modeling lifecycle, from defining the analytical approach and testing hypotheses to deploying models that understand complex debtor behavioral patterns and emerging fraud trends
- Design and execute high impact anti-fraud solutions, taking full ownership of project priorities and ensuring the delivery of high-quality, production-ready models
- Apply extensive expertise in quantitative analysis, data mining, and advanced ML to model debtor behavioral patterns, identify risk factors, and optimize Billie's real-time decision engine logic
- Collaborate deeply within cross-functional teams of data and software engineers, analysts, and product managers to improve decision engine logic, integrate new data sources, and enhance system functionalities
- Own the deployment and operationalization of ML services, working closely with Engineering to define requirements for robust infrastructure, including containerization and event-driven architectures
- Act as a technical mentor to junior team members, fostering a culture of technical excellence, rigorous experimentation, and best-in-class coding standards
- Maximize the impact of technical findings on critical business decisions through excellent data storytelling and clear, actionable recommendations for stakeholders
Our take
Buy Now, Pay Later (BNPL) options have exploded in popularity in recent years, with companies such as Klarna and Clearpay providing an additional line of credit to customers, allowing them to split the cost of their purchases over several instalments. Billie is a BNPL built for business transactions, using machine-learning driven risk models to finance B2B purchases responsibly.
With over 100,000 customers processing more than €750 million on its platform, Billie is relatively unchallenged in its market. While BNPL firms like Afterpay and Klarna could theoretically move into the B2B space, they are specialised in B2C financing and lack Billie's data on the B2B sector. Billie also boasts a range of features designed specifically for intra-company sales, such as instant verification, invoicing tools and business payment options, which give it a significant advantage against any new rivals.
Billie has raised impressive funding from investors, most recently in a 2021 Series C round. Additionally, its 2022 integration with Klarna and its 2025 announced availability on Stripe have removed major roadblocks to its future expansion. These moves, alongside its entrance into more markets in Europe, will likely speed the company's ascension to Unicorn status and solidify its market lead in the BNPL space.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2021
$100m
SERIES C
Jul 2019
$34.9m
SERIES B
Total funding: $150.7m
Company benefits
- Flexibility first: We come to the office for important events, but do not have a permanent office presence. Our teams decide how to get the best results
- 30 days vacation per year and 5 extra paid days to look after sick children
- Virtual Share Program
- German language courses from different language levels free of charge
- One-off relocation bonus to make your move easier
- Reimbursement of travel expenses and discount on local public transport in Berlin with the BVG
- Individual training budget of 1,000 euros for courses, conferences and more every year
- Free gym access, weekly yoga classes, healthy snacks, cereals, drinks and more
Company HQ
Friedrichshain, Berlin, Germany
Leadership
Aiga Senftleben
(Co-Founder, MD & General Counsel)Previously worked on a Legal Counsel at eBay and Paypal. Also worked at Funding Circle Deutschland as a General Counsel and is now a member of the Digital Finance Forum at the Federal Ministry of Finance (Germany).
Christian Grobe
(Co-Founder & MD)Graduated from the Free University of Berlin with a Ph.D. in Political Science. Previously co-founded Funding Circle/Zencap where they served as the Managing Director. Also Worked as an Engagement Manager at McKinsey & Company.
Dr. Matthias Knecht
(Co-Founder & Co-CEO)Previously co-founded Funding Cirlce/Zencap where they served as Managing Director. Also worked as an Engagement Manager at McKinsey & Company.
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