This is a remote position.

Rinf.tech is a technology consulting and software services company. Founded in 2006 in Romania, we have grown into a global organization with 600+ engineers and 8 Delivery Centers in Europe and North America (Romania, Bulgaria, Ukraine, Turkiye, and Mexico).

We offer custom software solutions and support for our worldwide partners through three main Business Units: Business Applications, R&D Embedded, Robotics, and Automotive.

At Rinf.tech, you’ll come across friendly people and a genuine way of thinking. RINFers are eager to learn from each other, explore and reinvent the world of technology. We have an inspiring place to share ideas and build amazing products together:www.rinf.tech.

What you will be working on

• Develop an expertise in applying machine learning techniques for outlier and fraud detection, representation learning, entity resolution, and network & graph applications.
  
• Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the client's model governance.
  
• Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
  
• Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.
  

What you offer us

• You have at least 5 years of (global) work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products.
  
• Python – advanced programmer.
  
• Machine Learning: modeling such as Classification, Regression, Clustering, Unsupervised methods, Text Mining. excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics.
  

Nice to have

• Spark is a plus.
  
• Experience in applying data science to prevent and detect financial crimes (e.g.  internal/external fraud, money laundering, terrorism financing, tax evasion,) is a strong advantage.
  

What we offer you

• Flexible working environment
  
• Learning budget and platforms
  
• Wide variety of projects you could be part of
  
• Medical subscription
  
• HR representative to guide you in your professional career development
  
• Flexible benefits platform
  
• Bookster
  

Our recruitment process

• HR Discussion
  
• Technical interview
  
• Offer
  

Meet us!

If you are still unsure, we are inviting you to come by anytime for a tour of our office without any commitment.

*All applications are strictly confidential. We will not disclose any private information without having your approval.