Informacje o stanowisku

Senior Data Scientist - Remote from Poland

Remote from Poland

Get to know us

At eyeo, we transform the internet into a trusted, sustainable, and accessible place where users regain control over their experience, content creators and publishers are rewarded for their content, and advertisers and consumers can connect on mutually agreed terms.

In combining our partnerships and our subsidiary products, our technology reaches 350 million monthly active users worldwide.

eyeo is a global employer of over 300 people working remotely in more than 30 countries (predominantly North America and Europe) with our HQ in Berlin and small offices in Cologne, Toronto, and NYC (planned soon).

How we work

eyeo has colleagues based all over the world. We love our diversity and take great pride in our company culture. We practice an independent, remote workstyle with work distributed in cross-functional matrix teams that span predominantly EST and CET time zones. If working remotely isn’t for you, we also have a large office in Berlin and soon in NYC that you can choose to work from. We meet twice a year as a team and host once a year an all-company retreat, our Summer Week. By enabling remote work and in-person sessions, we have built a culture that provides a unique dynamic of flexibility and belonging.

What youll do

As a Senior Data Scientist working with eyeo, you will be working on a wide range of projects from developing models for real-time bidding, to conducting A/B tests, automating existing work, providing stakeholders with analysis, and building data products, amongst other tasks.

• Optimize business processes and improve operational efficiency by identifying opportunities for automation.
• Create and analyze A/B tests to help engineering and product teams make decisions, and iterate and improve our products.
• Design and develop algorithms for our core business including regressions, image processing, forecasting, and real-time bidding (e.g., bid flooring and traffic shaping algorithms).
• Think beyond “just the model” by challenging existing product features and building data-backed business cases to shape product roadmaps.
• Work with engineering teams to enhance data collection strategy and processes.

What you bring to the table

• At least 4 years of relevant industry experience.
• Strong skills with Python and SQL.
• Extensive background in statistical analysis, machine learning, and data mining.
• Excellent applied statistics skills, such as hypothesis testing, experimental design, and sample size determination.
• Experience with big data and model optimization.
• Ability to explain findings in layman’s terms, both verbally (including written form) and visually.

Bonus if you have

• Understanding of the ad tech ecosystem and/or ad tech experience.
• Experience with GCP, Airflow.

What we offer

• Work remotely or from one of our offices — we trust you to find what works best for you.
• Full package of benefits (health insurance, choice of hardware, paid vacation days, professional development and relocation budget, sabbatical leave, etc.).
• Offsite team days and the annual summer company retreat.

* Some benefits vary subject to the hiring location.

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