Senior Data Scientist, Billie
Offers virtual Shares Incentive Programs
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
Offers virtual Shares Incentive Programs
101-200 employees
Company mission
To simplify purchasing for all companies and open up new opportunities for growth.
Role
Who you are
- Proven experience as a business problem solver, applying technical expertise to formulate, test, and validate hypotheses while summarizing and communicating findings
- A minimum of 4 years of experience in data science, analytics, business analytics, economics, or quantitative analytics - ideally within risk, fraud, or credit analysis
- Strong SQL skills for querying and manipulating large datasets
- Experience with statistical methods and optimization techniques
- Proficiency in Python (including libraries like pandas, scikit-learn, and xgboost)
- Ability to translate complex data into actionable insights and effectively communicate them across different levels of the organization
- A strong business acumen with a passion for solving real-world business challenges
- A proactive, self-starter mindset, with the ability to work independently and collaboratively
- Experience with cloud platforms (e.g. AWS), data warehousing solutions (e.g. Snowflake), and version control systems (e.g. Git)
- Experience in the fintech industry is a plus
- Familiarity with leveraging AI tools and technologies to enhance productivity, streamline workflows, and improve decision-making processes is a plus
What the job involves
- As a Data Scientist at Billie, you’ll play a key role in tackling complex business challenges related to credit risk and fraud mitigation while directly influencing our portfolio’s performance
- You’ll dive deep into data to uncover meaningful insights, shaping our strategies and driving growth
- This role goes beyond building models—it’s about understanding the "why" behind the data and translating your findings into actionable recommendations that resonate across teams, from product and engineering to leadership
- You’ll be an essential part of our Decision Science team, working alongside talented professionals in a collaborative, inclusive environment
- Apply statistical methods and machine learning to analyse complex datasets, identifying fraud and credit risk patterns while uncovering opportunities to improve existing systems
- Design and execute experiments (including A/B testing) to validate hypotheses and measure the impact of data-driven strategies
- Develop and implement machine learning models to predict and mitigate risk
- Work closely with engineers, product managers, and business leaders to translate insights into concrete actions that improve our business outcomes
- Clearly communicate findings to both technical and non-technical audiences, ensuring data-driven insights influence key business decisions
- Continuously explore new data sources, tools, and approaches to enhance risk management strategies
- Take ownership of projects from problem definition to solution implementation, collaborating across teams to deliver impactful solutions
- Familiarity with leveraging AI tools and technologies to enhance productivity, streamline workflows, and improve decision-making processes is a plus
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
1% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2021
$100m
SERIES C
Jul 2019
$31.4m
SERIES B
Total funding: $145.5m
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 values
- We are pioneers
- We want to make a difference
- We focus on people
Company HQ
Kreuzberg, Berlin, Germany
Articles
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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