Participate in the development and improvement of our internal system of evaluating the effectiveness of continuous ad buying.
Provide methodological support to the existing team, ensure the selection of appropriate tools for specific tasks, and guide the correct interpretation of results.
Contribute to the automation of processes related to training, validation, monitoring, and updating of predictive models.
Develop methods to account for and/or eliminate the effects of seasonality and product activity (A/B tests, LiveOps) to improve forecast accuracy and stability.
Monitor forecast achievement, as well as look for and interpret the reasons of why forecasts are not met.
Develop segmentation techniques to partition data (at the level of users, countries, etc.) into optimal groups.
Implement and test new approaches to forecasting (e.g., neural networks, boosting algorithms, etc.).
Work with the existing Python codebase, participate in code reviewing and optimization.
Develop and test modular, reusable code in accordance with the best practices of mission-critical software development.
Effectively communicate complex ideas and data-driven decisions to various stakeholders (CMO, user acquisition team, data engineering team, business analytics team).
Write optimized queries and create templates for the PostgreSQL database.
Write understandable documentation.
Bachelor's or Master's degree in statistics, applied mathematics, computer science, or a related field.
At least 5 years of experience in data analytics, preferably in mobile advertising or marketing analytics.
Proficiency in SQL and Pandas for data manipulation.
Intermediate or higher-level Python programming skills.
Experience in developing mission-critical software.
Experience with version control systems (GitLab).
Strong knowledge of statistical modeling, machine learning, and predictive analytics.
Excellent problem-solving skills and attention to detail.
Strong communication skills with the ability to communicate complex ideas.
Technical skills:
Python (intermediate or advanced level).
SQL (PostgreSQL).
Git (GitLab).
Machine learning libraries (e.g. scikit-learn, TensorFlow, PyTorch).
Familiarity with Airflow is a plus.
Bonus skills:
Experience with mobile apps (gaming experience will be a big plus) with ad and in-app monetization.
Expertise in time series analysis and segmentation techniques.
Experience with data visualization tools (Tableau).
Intermediate written English for effective communication, including with LLMs.
Familiarity with cohort analysis and key ad-buying effectiveness metrics (ROAS).
Experience in creating Python packages.
We are inspired by each other! We share experiences, exchange ideas, discuss them, and then immediately implement them. And the results exceed all our expectations.
Our care department works hard to make sure that you hear the word «care» more often than you think about it. The starter kit includes health insurance, paid sick leave, vacation, 4 sick days per year as well as sports and fitness reimbursement. And last year, we also added psychological support for our employees.
We offer everything you need for professional development: specialized conferences, workshops, internal English, and much more. All you need is the desire to grow, and in our turn, we will give you the opportunity.
Plus, we also have employee referral bonuses, bonuses for your birthday and other events in your life, and much more.
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