Наш клієнт:
An established, high-scale advertising technology platform operating in programmatic advertising. Its real-time decision systems directly influence campaign performance, traffic quality and monetization.
Ваші завдання:
- Design, develop, optimize and maintain machine learning models for large-scale advertising platforms
- Build predictive models for CTR, CVR, user behavior, traffic quality and advertising performance
- Develop algorithms for bidding, pricing, ad ranking, traffic selection and campaign optimization
- Work with high-throughput, latency-sensitive, real-time advertising decision systems
- Improve targeting, segmentation and recommendation algorithms
- Design A/B tests, offline evaluations and statistical experiments to measure model and business impact
- Own ML solutions end to end, from problem definition and feature engineering through deployment, monitoring and iteration
- Collaborate with Data Science, ML Engineering, Backend Engineering and Product teams
- Improve monetization, advertising efficiency, prediction accuracy and platform performance
Необхідний досвід та навички:
- 5+ years of hands-on professional experience in Data Science, Applied ML or algorithm development
- Significant practical experience in AdTech, programmatic advertising or real-time advertising platforms
- Direct exposure to DSP, SSP, RTB or comparable programmatic advertising environments
- Hands-on ML experience in advertising, such as CTR/CVR prediction, bidding optimization, ranking, traffic selection or campaign optimization
- Strong command of Python
- Strong command of SQL
- Hands-on experience working with large-scale datasets
- Solid foundations in machine learning and statistical modeling
- Deep understanding of feature engineering and model evaluation
- Proven ability to design and run experiments to measure model and business impact
- Proven experience deploying, maintaining and improving ML models in production
- Practical understanding of high-throughput systems, latency constraints and real-time decision-making
- Proven ability to take independent technical ownership of ML solutions and deliver measurable business impact
- Proven ability to collaborate with cross-functional engineering teams
- Strong communication skills for working in an international team
- English – Upper-Intermediate
Було б добре:
- Experience in AdTech
- Experience with DSP bidding systems, SSP optimization, RTB auctions, OpenRTB, auction dynamics or real-time decisioning
- Hands-on experience with bid pricing, bid shading or budget pacing
- Hands-on experience with traffic quality, inventory selection, yield optimization or monetization
- Experience with deep learning, DNNs or embeddings
- Experience with recommendation systems or ranking models
- Hands-on experience with PyTorch, TensorFlow or scikit-learn
- Hands-on experience with Spark, Kafka, Redis, Snowflake or comparable infrastructure
- Experience with model serving and latency optimization
- Experience with model performance monitoring in production
- Solid understanding of advertising KPIs, including CTR, CVR, eCPM, ROI, ROAS, fill rate and revenue yield
- Experience with online learning or contextual bandits
- Experience with causal inference or advanced experimentation
Умови праці
5-денний робочий тиждень, 8-годинний робочий день;
Віддалена робота.