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Data Scientist I

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Mollie

2mo ago

  • Job
    Full-time
    Junior & Mid Level
  • Data
    Software Engineering
  • Amsterdam

AI generated summary

  • You have 1-3 years in data science, expertise in BDT algorithms, basic experience with Generative AI, strong Python skills, and cloud platform knowledge, preferably in fintech. M.Sc./Ph.D. required.
  • You will develop and maintain ML models, perform exploratory data analysis, ensure production readiness, collaborate with MLEs, and contribute to knowledge sharing within the Data Science community.

Requirements

  • 1-3 years experience in data science and machine learning, including the development of models that successfully went to production.
  • You are an expert in using applied ML on structured data, in particular regression and classification problems using boosted decision tree (BDT) algorithms.
  • You have basic experience with Generative AI, both large language models (LLMs) and embedding models.
  • You approach complex problems in a structured way, always looking for the simplest, pragmatic solutions.
  • You understand the technical and non-technical constraints of a business problem.
  • You are detail-oriented but can also quickly shift priorities if required.
  • You enjoy working collaboratively in a cross-functional & distributed team environment.
  • You have good presentation skills and can communicate to a wide variety of audiences.
  • You have a strong foundation in statistics.
  • You have solid software engineering skills and love coding in Python.
  • You know your way around a linux shell and are comfortable with Git for version control.
  • You know the scikit-learn API inside and out.
  • You are comfortable in an agile Way of Working, with Scrum or similar frameworks.
  • Experience with Google Cloud Platform Vertex AI or similar (e.g. SageMaker).
  • Experience in the financial services industry (banking or fintech).
  • Familiarity with DevOps & MLOps principles.
  • M.Sc. or Ph.D. in Machine Learning, Computer Science, Physics, or similar.

Responsibilities

  • Develop and maintain ML models for a range of use cases across Mollie. Ensure these models smoothly reach production and bring measurable value to our stakeholders.
  • Perform efficient exploratory data analysis (EDA) and present key insights to colleagues & stakeholders.
  • Adopt best practices and standards for the development of robust ML models.
  • Collaborate closely with MLEs to prepare your code & model for production using our ML Platform.
  • Contribute regularly to our bi-weekly DS Community of Practice (knowledge sharing sessions).

FAQs

What is the job title for this position?

The job title is Data Scientist I.

Where is this role based?

This role is based at Mollie’s Amsterdam headquarters.

What are the main responsibilities of the Data Scientist I?

The main responsibilities include developing and maintaining ML models, performing exploratory data analysis, adopting best practices for robust ML model development, collaborating with MLEs for production readiness, and contributing to knowledge sharing sessions.

What kind of experience is required for this position?

1-3 years of experience in data science and machine learning, including developing models that have successfully gone to production.

What programming language should candidates be proficient in?

Candidates should have solid software engineering skills and love coding in Python.

Is experience with Generative AI required for this position?

Basic experience with Generative AI, including large language models and embedding models, is preferred.

What statistical skills are necessary for this role?

A strong foundation in statistics is required.

What development practices and tools should candidates be familiar with?

Candidates should be comfortable with Git for version control, the scikit-learn API, and have knowledge of agile methodologies like Scrum.

Are there any preferred qualifications for the role?

Yes, nice to have qualifications include experience with Google Cloud Platform Vertex AI or similar, experience in the financial services industry, familiarity with DevOps & MLOps principles, and an M.Sc. or Ph.D. in Machine Learning, Computer Science, Physics, or similar.

Will the candidate work with a distributed team?

Yes, the candidate will be part of a geographically-distributed team comfortable with collaborating virtually and in a hybrid format.

What is the nature of the ML models that the Data Scientist will develop?

The Data Scientist will develop predictive ML models that provide decision intelligence in areas such as risk & fraud monitoring, payments, financial services, merchant experience, and go-to-market strategies.

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Mollie

Making money management effortless for every business in Europe.

Finance
Industry
501-1000
Employees
2004
Founded Year

Mission & Purpose

Mollie is a global payments service provider that simplifies online transactions for businesses of all sizes. Their mission is to make payment processing easy, accessible, and secure, enabling companies to manage payments efficiently and grow their business. Mollie aims to enhance the payment experience by offering a range of integrated payment solutions that streamline financial operations and support global commerce.