Senior Data Scientist
Коротко
Develops ML models (recommendation, predictive, uplift), applies visual embeddings, builds ML pipelines with Airflow, MLflow, Docker, and defines ML strategy. · Needs: 5+ years applied Data Science, Python (sklearn, pandas, numpy, scipy), SQL, TensorFlow or PyTorch, ML infrastructure (MLflow, Airflow, Docker), end-to-end
Описание от работодателя
With over 8 billion downloads and 200+ games in our portfolio, we at SayGames think big. We don’t believe in bureaucracy or complex vertical structures—but we do believe in people and creative freedom. Our approach has propelled us into the top 3 publishers worldwide, and we have no plans to slow down.
We are a data-driven company, relying on analytics, cutting-edge technologies, and expertise. But our true secret lies in our people—their boldness and experience allow us to push boundaries, experiment, make mistakes, set trends, and uncover the secrets of success.
We're looking for a Senior Data Scientist to develop advanced ML models and implement innovative AI solutions to solve complex business challenges across our gaming and advertising platforms.
Develop and implement ML models: recommendation, predictive, uplift
Apply visual embeddings of images and videos in applied tasks (e.g., creative evaluation, clustering, ranking)
Work with marketing and product data: LTV, engagement, churn
Build and maintain ML pipelines using Airflow, MLflow, Docker
Contribute to defining the strategic direction of ML practice
Initiate research tracks and launch MVPs
5+ years of experience in applied Data Science
Strong proficiency in Python (sklearn, pandas, numpy, scipy, etc.)
Solid SQL skills; experience with ClickHouse is a plus
Hands-on experience with TensorFlow and/or PyTorch
Practical knowledge of ML infrastructure (MLflow, Airflow, Docker)
Ability to work end-to-end: from idea to production
Experience or strong interest in models for recommendation, uplift modeling, visual embeddings, and marketing prediction
Ability to strengthen the team not just through execution, but also through strategic thinking
Nice to Have
Experience in game development, advertising, or e-commerce
Data visualization skills (Tableau, PowerBI, etc.)
Understanding of product analytics and business metrics
Experience working with multimodal data
Skills in documentation and knowledge transfer within the team
Hybrid work format — cozy offices in Limassol, Paphos, or Warsaw. Remote work is up for discussion
Flexible schedule — work at your own pace as long as you stay in touch with the team and get things done on time
Support for self-development — free English classes, conference and course reimbursements
Health benefits — medical insurance for you and your family, plus a sports allowance
Top-tier equipment — we’ll set you up with the best devices for a smooth workflow
Team-building trips across our office locations and beyond, from sunny Cyprus to Poland’s lakes, rivers, forests, and mountains.