To be a Salter
We’ve arrived, strong and ready to develop a new page on payments history.
We are a group of ambitious people with only one mission at heart: to make the small merchant big. Through technology, innovation and the relentless will of changing the status quo in the payments sector, we want to empower our merchants by giving them the tools that they need to succeed.
Our understanding comes from the powerful relationships we cultivate with them. Our goal is to hire better people than ourselves, maintaining the growth line we’ve been having since day one, adding new allies to our mission to disrupt the payments industry and revolutionize commerce in Europe. We hire people based on their true value and their growth capacity, entrepreneurial minds, inquisitive spirits and data-driven brains.
What is your mission?
Your goal is simple: help us lead the company with data. Based on the data that we gather, we want you to apply your knowledge, alongside your critical judgement to build a stronger, more effective customer-centric product, capable of pushing our customers (as well as SaltPay) to the next level, because we can only grow as much as our customers do.
Based on innovative technology, you'll work closely with different teams, contributing to excellent insights and predictive models that will lead us to an improved customer experience. Your mission is to onboard on our growth journey, becoming one of the faces responsible for the revolution in the payments sector!
What is your story?
Your responsibilities will include:
Leading the company with data to drive business solutions
Working on projects including but not limited to agent performance, customer churn, ticket forecasting, contact reason prediction, topic modelling and multilingual sentiment analysis etc.
Build out a platform where Data Scientist can deploy their models
Building predictive models to a production level with reusable code
Working closely with and guiding the junior data scientists on the team
What skills and experience are we looking for?
Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
2+ years of professional working experience
Someone who thrives in developing innovative, state-of-the-art products that can meet and surpass the latest advances in the field
Proficiency in Python,Pandas, AWS, SQL
Experience with Machine Learning and statistical inference.
Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation
Ability to communicate outcomes of Analysis to business stakeholders
Strong analytical and problem-solving skills
Ability to think creatively and insightfully about business problems
Nice to have:
Kubernetes, Docker, Experience with Model Deployment
A strong Central Data team aiming to democratise data driven decisions across the company. Everything from Data Engineering to Data Science.