Senior Data Scientist

€4,0007,000/month
Remote
Full-time

DSPAdTechRecSys

Brief description of the vacancy

Remoby fast-growing tech company operating in the international programmatic advertising market. Our core product is a Demand Side Platform (DSP) capable of handling 50,000 queries per second and delivering 20 million ad impressions per day.

We’re looking for Senior Data Scientist.

Our Tech Stack is:

Python, Sklearn, PyMC3, GitLab, ClickHouse, PostgreSQL, Airflow, Docker, Grafana, k8s, VictoriaMetrics.

About the company

Company Remoby

We are a fast-growing tech company operating in the international programmatic advertising market. Our core product is a Demand Side Platform (DSP) capable of handling 50,000 queries per second and delivering 20 million ad impressions per day.

Our primary focus is on developing smart bidding algorithms that optimize ad auctions and maximize campaign efficiency. We work with both In-App and web advertising, covering a variety of geographic markets.

Responsibilities

  • Developing new machine learning models to improve traffic acquisition;
  • Maintaining, tuning, and developing existing models;
  • Conducting experiments on adding new factors to models, as well as measuring quality gains;
  • Analyzing advertising statistics, searching for insights, and evaluating the results of the models;
  • Customizing the parameters of advertising campaigns to link them to ML models;
  • Interacting on tasks with the team: Developer, Data Engineer, DevOps, BI.

Requirements

  • Has experience in AdTech or in RecSys
  • Has excellent knows of Python and knows how to write effective SQL queries;
  • Has knowledge of basic mathematics, probability theory, and applied statistics;
  • Has knowledge of how standard Machine Learning algorithms work and has experience in their practical implementation and production support;
  • Is able to explain their ideas to people who may not have knowledge of mathematics and machine learning, as well as independently convert a business problem into an algorithmic one;
  • Is able to propose metrics for optimization and different methods for solving the problem;
  • Likes to work in a team and takes the initiative when necessary.

Working conditions

• Employment type: Remote • Paid time off: Vacation days and day-offs are provided • Sick leave: Covered • Growth opportunities: Available within the team and company • Contract: Formal agreement outlining all terms and responsibilities

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