Data Scientist

August 7

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Intelligent Trademark & Brand Protection Solutions

trademark research • trademark watching • domain portfolio management • mitigating domain infringement • trademark screening

1001 - 5000

Description

• Research and implement fraud detection pipelines in anti-piracy and brand protection domain • Create prototypes demonstrating concepts/results to business in an easy to understand format • Work closely with subject matter experts to validate results and share knowledge about the used methodology • Try different SOTA architectures and models to achieve best performance both in processing speed and accuracy • 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

Requirements

• MSc or Bachelor degree in Computer Science, Mathematics, Artificial Intelligence or related field • Minimum 3 years relevant industry experience in researching/building data science applications • Proficient programming skills in a high-level DS languages (python, R), R shiny experience for prototyping is a plus • Experience with working in cloud architectures (AWS, GCP, Kaggle, etc.) • Broader knowledge of large dataset processing pipelines and distributed computing architectures (Apache Beam/Airflow, Spark/Hadoop architectures) • Knowledge of relational databases, noSQL, memory database technologies, graph processing (Elastic Search, MongoDB, Redis) • Experience with GPU backed modeling/inference