About the client
Our client has more than 1500 team members serving over 5,000 clients on five continents, and we’re growing and changing rapidly. We are a fantastic company to work for — with great benefits, growth opportunities, and a terrific internal culture — and we truly believe that it’s people who make us thrive. Every day, we are transforming ourselves into a better partner for our customers, a better employer for our colleagues, and a better investment for our owners.
Requrements:
- Excitement about being an experienced fraud specialist and interested to keep track the latest advancements in the field;
- Excellent technical skills to apply new methodologies to make more accurate / efficient solutions;
- Ability to work through problems and figure out next steps;
- BeingOpen-minded to different ways of accomplishing tasks;
- Ability to work collaboratively in a geographically distributed team environment;
- Strong desire to always learn new technologies, techniques, and tools;
- Ability to effectively prioritize work in a highly dynamic work environment;
- Ability to proactively reach out and facilitate communications.
Qualifications/Experience:
- PhD or Master’s degree in Computer Science, Mathematics, Artificial Intelligence or related field;
- 5+ years relevant industry experience in researching/building data science applications;
- Hands-on development experiment with fraud detection infrastructure, specially data and distributed computation products;
- Experience with GPU backed modeling/inference; Proficient programming skills in a high-level DS languages (python, R);
- Experience with working in cloud architectures (AWS, GCP, Kaggle, etc.);
- Working experience with relational databases, noSQL, memory database technologies, graph processing (Elastic Search, MongoDB, Redis);
- Working experience with large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures).
Responsibilities:
- Research and implement fraud detection pipelines in anti-piracy and brand protection domain;
- Try different SOTA architectures and models to achieve the best performance both in processing speed and accuracy;
- Work closely with platform development teams to help the integration of tested solutions and share knowledge about the developed infrastructure;
- Take care of the continuously increasing training/test datasets, verify consistency, offer solution for revisiting labeling issues;
- Implement solution based on continuous training principle as fraud behavior is rapidly changing;
- Think creatively about the implemented solutions, advise new features or tools, innovate;
- Collaborate with other Data Scientists to share knowledge and continuously improve other non-fraud related solutions;
- Take part in other machine learning projects utilizing your experiments and general understanding of fraud detection principles.
About Global IT Support:
Global IT Support is a 18-year-old Dutch company which successfully works in the IT staffing market. We provide expert teams for all major IT languages. We cooperate with Clients all over the world, helping them successfully solve their business challenges with minimal effort and maximum efficiency. With our knowledge we help our clients with structure and communication.
We offer:
- Competitive work environment
- Attractive salary at or above market rate
- Full career development program
- Flexible working schedule
- Compensation for sick leaves and regular vacations
- All expenses paid trips abroad
- Unforgettable corporate events within a friendly young team
- Free English language school
- Fully equipped kitchen with beverages and snacks
- Cozy relax spot
- Breathtaking scenery view from a new modern office