Data Scientist

Description

Position at Ness K.E. s.r.o

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

The Košice team is a key part of a large global team and was formed ten years ago as a ten-member team of developers and testers. At present it has more than 100 members covering activities from almost all phases of the product cycle.

Our task is to develop and upgrade a number of important products used in exposing cases of money laundering. We have teams of technical implementers providing installation and configuration of products with final customers in various parts of the world, as well as teams providing customer support.

Over the course of ten years we have built up a strong partnership with our client and become a key part of their long-term success.

Responsibilities

• Perform analysis to support the deployment of financial crime prevention analytical models
• Analyze AML cases obtained from clients
• Research data patterns in order to find patterns predictive of AML (Anti-Money Laundering)
• Improve the quality and actual implementation of computational algorithms and tools
• Optimize the detection performance of NICE Actimize AML products and improve customers’ experience with our AML solutions
• Define product requirements for analytics and provide feedback to the product team on ways in which product may be improved
• Develop and enhance our solution-specific risk scores
• Measure the quality of the analytical performance of AML Products
• Develop tools to support model tuning, performance tracking and automation
• Develop custom detection logic for specific clients
• Help maintain and improve model development methodologies/practices.

Experience: 2 to 8 Years

Qualifications:

• Advanced degree in a quantitative area (statistics, mathematics, physics, computer science, engineering)
• Strong general analytical skills, Experience with statistical model development. Deep and diverse experience with multiple statistical procedures and data mining algorithms. Strong Machine Learning skills.
• Strong experience with using SQL and EXCEL.
• Strong programming skills in Python and ability to rapidly learn new programming tools.
• Exposure to other programming languages: R, Scala, Java & Python
• Experience of building and deploying classification and regression machine learning models at an enterprise level.
• Good oral and written communications skills, and ability to interact with engineers, software developers, project managers, business analysts, product managers and with clients.
• Ability to work in multi-disciplinary agile teams.
• Strong commitment to quality
• Customer facing experience – a plus
• Innovative aptitude.
• Experience with DataRobot - advantage

Not checking every single requirement?

• If this role sounds good to you, even if you don’t meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.
• Let’s meet and you may just be the right candidate for one of our roles.
• At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.