Senior Data Scientist

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?
Based on the data collected by the company activity 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!

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.
Analysing external customer and internal business data and work with relevant teams to drive optimization and improvement of our products
Building predictive models to a production level with reusable code
Working closely with and guiding the junior data scientists on the team

Requirements:
Must have:
Background in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Economics or equivalent)
3+ 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 and SQL/Postgres
Solid experience with Machine Learning, Deep Learning as well as Natural Language Processing
Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation
Experience working in a Linux or Mac OS environment
Ability to frame Machine Learning models in a business context and with strong communication skills to be capable of presenting the findings of complex models to business stakeholders
Strong analytical and problem-solving skills
Ability to think creatively and insightfully about business problems

Nice to have:
Familiarity with AWS environment (SageMaker, S3, Redshift), Snowflake and Flask API is beneficial
Your Team
A strong and talented team that's data-driven, inquisitive by heart and supports every decision based on carefully collected and organized information! They empower our business and our customers daily routine by identifying growth and improvement opportunities. You'll help this team tailoring the future of Customer Relations! You will be part of the Customer Relation Team, integrated into our Data Science area.
SaltPay is proud to be a safe space for all people, diversity is the best part of our job. If this is your story, if this is you, join our journey.