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You will be updated with latest job alerts via emailWere on the lookout for a midlevel Data Scientist to join our Acceptance Rates team working on endtoend research and development of Machine Learning models to optimise the payment performance of our merchants.
Youll be responsible for continually improving existing models and identifying new opportunities to apply Machine Learning to solve real world problems using cuttingedge approaches such as Reinforcement Learning.
The work this team does has a proven track record of moving the needle within a product area that has high strategic importance to Checkout.com so theres huge opportunity for tangible impact.
Key Responsibilities:
You will be expected to make substantial contributions to the research & development of new ML models
Design and implement experiments to produce actionable insights and improve model performance
Collaborate with other data scientists and engineers to productionise ML features/models
Write highquality Python for feature engineering and model training
Qualifications :
At least 2 years experience developing machine learning models to solve business problems
Strong understanding of: machine learning probability and statistics
Experience applying scientific methods and thoughtful experimental design
Able to write high quality Python code
Experience with SQL databases
Nice to have
Experience in Financial Services/Fintech or Payments
Familiar with distributed generalpurpose clustercomputing (e.g. Spark Dask Hadoop)
Experience with Docker.
Experience with AWS or at least another common cloud platform (GCP/Azure).
Familiar with the unix shell and shell scripting (for automating tasks).
Additional Information :
Apply without meeting all requirements statement
If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.
Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday Wednesday and Thursday). Weve worked towards enabling teams to work collaboratively in the same space while also being able to partner with colleagues globally. During your days at the office we offer amazing snacks breakfast and lunch options in all of our locations.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world and so do we. Hiring hardworking people and giving them a community to thrive in is critical to our success.
When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.
Take a peek inside life at Checkout.com via
Apply without meeting all requirements statement
If you dont meet all the requirements but think you might still be right for the role please apply anyway. Were always keen to speak to people who connect with our mission and values.
We believe in equal opportunities
We work as one team. Wherever you come from. However you identify. And whichever payment method you use.
Our clients come from all over the world and so do we. Hiring hardworking people and giving them a community to thrive in is critical to our success.
When you join our team well empower you to unlock your potential so you can do your best work. Wed love to hear how you think you could make a difference here with us.
We want to set you up for success and make our process as accessible as possible. So let us know in your application or tell your recruiter directly if you need anything to make your experience or working environment more comfortable. Well be happy to support you.
Take a peek inside life at Checkout.com via
Remote Work :
No
Employment Type :
Fulltime
Full-time