Senior Data Scientist

Дата размещения вакансии: 28.03.2025
Работодатель: We are a fast-growing tech company operating in the international programmatic advertising market. Our core product is a Demand Side Platform (DSP) ca
Уровень зарплаты:
з/п не указана
Город:
Санкт-Петербург
Требуемый опыт работы:
От 3 до 6 лет

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.

We’re looking for Senior Data Scientist
​​​​​​​

We’re looking for someone who:

  • Has experience in AdTech
  • 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.

You will work on:

  • 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.

Our Tech Stack is:

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