Data Science Manager, Billie
+ Virtual Shares Incentive Program
2-5 days a week in office
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
2-5 days a week in office
101-200 employees
Company mission
To simplify purchasing for all companies and open up new opportunities for growth.
Role
Who you are
- 6+ years of total experience in a data-driven, quantitative, or machine learning role
- You have proven experience managing, mentoring, or formally leading a team of Data Scientists or analysts
- Proficient in Python (pandas, scikit-learn, xgboost) and SQL (MySQL, Postgres, Snowflake), and data visualization tools like Tableau
- Proven experience with general classification models (classical and deep learning), anomaly detection algorithms, and graph networks
- Proven experience leading or contributing significantly to the deployment and productionizing of ML services, demonstrating a deep understanding of modern MLOps concepts like containerization and event-driven architectures
- Expertise in managing both technical and executive/non-technical stakeholders to align priorities and gain buy-in
- Strong problem-solving capabilities coupled with business understanding and the ability to translate complex business problems into the team’s analytical and technical requirements
- Excellent communication and data storytelling skills, with a track record of maximizing the impact of the findings on organizational decision-making and cross-functional engagement
- Experience with ML orchestration frameworks like Metaflow, Apache Flink and similar MLOps tools
What the job involves
- As the Data Science Manager for Fraud prevention, you will lead a high-impact team within the broader Decision Science group. You will be responsible for defining the strategic roadmap, mentoring data scientists, and ensuring the successful execution of robust, scalable machine learning solutions aimed at preventing fraud, which has a direct and measurable impact on Billie's business
- You will define the analytical approach, approve hypotheses for experimentation, and oversee in-depth analysis to understand debtor behavioral patterns and emerging fraud trends
- Lead and mentor a small, dedicated team of data scientists, guiding their professional development, managing project priorities, and ensuring the delivery of high-quality, impactful anti-fraud solutions
- Apply your extensive expertise in quantitative analysis, data mining, data science, and advanced ML to model debtor behavioral patterns, identify risk factors, and optimize Billie's real-time decision engine logic. This role is as much hands-on as it is leadership
- Work as a leader within cross-functional teams of data and software engineers, analysts, product managers, and business leaders to optimize Billie’s decision engine by improving its logic, introducing new data sources, and enhancing functionalities
- Ensure the successful deployment and operationalisation of ML services, collaborating closely with Engineering on requirements for robust ML infrastructure, including containerization and event-driven architectures
- Maximize the impact of findings on critical business decisions through excellent data storytelling and clear, actionable recommendations
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 installments. Billie is a BNPL built for business transactions, using machine-learning driven risk models to responsibly finance B2B purchases.
With over 100,00 customers processing more than €750 million on its platform, Billie does not face much competition 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 large advantage against any new rivals.
Billie has raised a significant amount of funding from investors, most recently in a 2021 Series C round. Additionally Its 2022 integration with Klarna, allowing companies with a Klarna installation to swiftly switch over to Billie's payment options for B2B sales has removed a major roadblock to its future expansion. This move, 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
$34.8m
SERIES B
Total funding: $150.6m
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
Kreuzberg, Berlin, Germany
Leadership
Aiga Senftleben
(General Counsel)Previously worked on the 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
(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-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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