Data Science Researcher

Company teamPosition

Our client is a software company delivering precisely engineered software solutions standing on the principles of machine learning, artificial intelligence, physical security and resource optimization. They are providing end to end solutions for startups, established companies and government organizations.

Our client helps companies to identify areas suitable for the application of AI, define the problem, it’s scope, best approach and data required. They are able to quickly dive into data and understand it’s quality and suitability. Then they build a proof of concept demonstrating the viability of the approach as well as the added value of a potential solution while maintaining the investment as well as the risk low. After successful validation, they deploy their engineers and deliver a production-ready software solution with a complete user interface, seamless integration with your infrastructure as well as appropriate SLAs.

Contract Type







From 150€/MD


Software solutions

Company team

Company teamRequirements

What you will do:

  • As a part of a larger team, help to build products(s) that protect users' privacy and identity

  • Assess identity and privacy risks that users are facing on a daily basis, identify signals/features that indicate the risk level, design alerting and risk scoring mechanisms, design risk mitigation mechanisms

  • Learn and research new technologies rapidly, assessing privacy exposures, and suggesting mitigations

  • Designing, developing, testing, and deploying privacy-enhancing solutions to address real-world privacy concerns, e.g. data anonymization or threat evaluation.

  • Working with existing ones and developing new Machine Learning PoCs, turning them into the production-ready ML pipelines

  • MLOps, communication with our internal data platform team and engineers from product teams.

What we expect from you:

  • Analytical and problem-solving skills with attention to details

  • Proven experience in Artificial Intelligence (Data Mining, Natural Language Processing, Image Classification, Distributed Systems or related field).

  • Hands-on experience with Big Data frameworks (Spark, Hive)

  • At least 2 years of experience in coding with one of the languages: Python, R, C/C++, or Java.

  • Hands-on experience in building the interfaces around the model, building ML pipelines (developing packages, automated workflows, REST APIs, database queries, etc.)

  • Hands-on experience with Docker, Kubernetes, AWS is a plus.

  • Basic knowledge in privacy/cybersecurity is a plus.

  • Fluent in English

  • Ability to solve complex problems independently

  • Strong collaboration, communication, and organizational skills

  • Presentation, and visualization skills.

Team size:

Depending on the project. Standart structure is: Team Lead - Project Mng - 3 to 10 devs

Hiring process:

1. round - short welcoming check 
2. round - tech round

Our Top Clients