Technical Researcher

As a Senior Technical Researcher within the AdTech Technical Research Team, you'll play a pivotal role in exploring and understanding the latest technologies in the ad tech domain. You'll be responsible for conducting in-depth research, experimenting with new technologies, and collaborating with cross-functional teams to assess their potential for integration into our systems. Your role will involve a blend of programming, research, and analytical skills to evaluate the effectiveness and feasibility of various ad tech solutions. The following skills will be crucial:

• Strong technical proficiency : Programming skills and the ability to understand large and complex systems and architectures.
• Strong desire for learning and knowledge acquisition : Openness to continuous learning and expanding skills in the ad tech domain.
• Independence : Ability to make decisions and take action without excessive supervision while maintaining a high standard of work.
• Goal-oriented mindset : Focus on achieving specific project goals and the ability to adapt in a dynamic work environment.
• Teamwork : Ability to effectively collaborate with team members and other teams, both internally and externally.
• Openness and willingness to experiment: Readiness to take on new challenges, explore new technologies, and seek innovative solutions.
• Proactive attitude : Initiative in proposing ideas and actively seeking ways to improve existing processes and solutions.
• Ability to build Proof of Concepts (PoCs) : Capability to create prototypes and experimental solutions to evaluate their effectiveness and utility in practice.

You will work with following tech stack:

• Jupyter Notebooks
• BigQuery, GCP

Must have

• 3+ years of experience as researcher or engineer.
• Proficiency in programming.
• Strong analytical skills and the ability to interpret data to derive meaningful insights.
• Good communication skills to effectively collaborate with team members and stakeholders.

What we offer

• Compensation : an attractive salary and career growth opportunities.
• Technology: access to the latest technologies and real opportunity to use them in large-scale and highly dynamic projects; working on extensive and rich datasets.
• Impact: your work will immediately impact the company's business results and outcomes globally as well as mentor less experienced colleagues in the team.
• Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely.
• Culture: work in a team of enthusiasts with wide experience in ML who willingly share their knowledge and learnings on a daily basis, no BS environment.

Purpose-Driven Work: being at the heart of the system, your growing knowledge and competences will be used in practical applications directly connected to business results.

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