POSIZIONE CHIUSA
Candidati ora
Descrizione
Scalapay is transforming the way people buy online and in-store, empowering merchants to give their customers magical experiences. With over 4,000 retailers in fashion, beauty, homeware & travel trusting us (Moschino, Decathlon, Calzedonia, Nike, Shein to name a few), we have more than 1M+ customers using Scalapay today across Europe.
Following a 497M$ series B in February 2022 led by Tencent and Willoughby Capital, we are now a unicorn With this in mind, our teams are growing fast: we’re looking for extraordinary talents to come join the adventure and help us shape and sell the future of ecommerce payments & checkout products.
Working with us means a day-to-day where things go very fast, where you get the opportunity to lead exciting & challenging projects, and be part of team driven by 4 values: #createmagic #staycurious #beimpactful #playasateam. We’re proud of being one of the top 10 startups to work for according to LinkedIn, and 2021’s Startup of the Year in Italy.
This is where your magic happens. If you love it, Scalapay it
THE MISSION
Scalapay is revolutionizing the way people shop and pay both online and in-store. Our mission is to create innovative payment solutions that provide magical experiences for customers while delivering exceptional value and revenue to our merchants.
There could not be a more exciting time to join our Data & Risk team as we lead the BNPL space in Europe, partnering with the Italian Fashion and Beauty sectors of the market.
You will be responsible for:
- Algorithms and data are the centre of our efforts to automate processes and support decisions across the business.
- As a Senior Data Scientist, your role will focus on building algorithms, as well as advising and mentoring the Data and Risk areas as we grow.
- Guide and help define the data science and data analysis work for the Product team
- Advise and mentor other data scientists and analysts in the Product team
- Perform statistical modelling, correlation analysis and causal inference to understand behaviours inside the Scalapay product
- Measure, test and learn how different product features are used with quantitative approaches such as A/B tests and rollout plans
- This role will give you the autonomy to thrive while being part of a top-notch team of experienced colleagues who collaborate on the challenges surrounding data science.
- You’ll be a confident communicator who is comfortable advising on the best approach to improve business outcomes in the marketing, credit risk, fraud and operations space.
Who we are looking for:
- Strong Python and SQL experience
- Expertise in training and deploying predictive machine learnt models
- Ability to reason about statistical models, both applied (clustering methods, tree models, etc) as well as theoretical (frequentist methods, etc)
- Experience with PyTorch, TensorFlow, or other neural net frameworks is a bonus
- Solid skills in building and deploying algorithmic models, preferably in the financial services sector
- Ideally experience building and deploying ETL pipelines
- Ability to scope projects and decompose work into tasks
- Familiarity with Linux-like development stacks, including Git, Kubernetes, etcFamiliarity with AWS infrastructure (such as S3, Athena, Glue, etc)
- A Masters Degree (preferred) or an undergraduate degree in a quantitative field such as statistics, mathematics, or Computer Science
What we offer:
- Opportunity to join our journey as we lead the BNPL space across Europe.
- Collaboration with a team of Industry Leaders who are focused on delivering products that offer exceptional value to our customers.
- An environment that empowers you to take end-to-end ownership of your role and projects.
- Work with the latest technologies and be encouraged to bring your own flair to the role.
- Professional development budget, training plan and career guidance.
- Attractive salary packages including employee share option scheme
- As we are collaborators, we like to work together as a team; however, we offer flexible working from home conditions.
RECRUITMENT PROCESS
- a quick call with Gaia, our Tech Talent Acquisition Manager
- a first interview with Tim, our Head of Risk & Data
- A case study with Tim and some Tech team members to test your hard skills
- a Meet The Team session where you’ll get to meet different people at Scalapay and see if you’ll fit into our culture
We believe in the power of diversity: Scalapay is an Equal Opportunity Employer for any minority, disability, gender identity or sexual orientation.
POSIZIONE CHIUSA
Candidati ora
