Offer summary

Qualifications:

Degree in computer science, machine learning, statistics, mathematics, or a related field., 5+ years of experience in applying ML and data science in production environments, preferably in AdTech., Strong proficiency in Python, SQL, and familiarity with cloud-based ML services., Deep understanding of probabilistic modeling and optimization techniques..

Key responsibilities:

Develop and deploy scalable machine learning models to enhance advertising performance.

Design and improve recommendation systems and predictive algorithms for publisher monetization.

Collaborate with data engineering teams to create efficient data pipelines.

Integrate ML-driven features into production systems and communicate outcomes to stakeholders.

Job description

Company Description

We’re looking for a curious and driven Senior Data Scientist who is ready to take on real product challenges. If you love building intelligent systems, improving performance, and working without micromanagement, you’re in the right place at the right time!

CUSTOMER
Our client is a fast-growing player in the AdTech space, focused on building advanced technology solutions that help digital publishers optimize revenue and better engage with their audiences. Their platform uses cutting-edge machine learning to drive smarter decision-making across the advertising lifecycle.

Job Description

Develop and deploy scalable machine learning models to improve advertising performance and revenue outcomes
Design and enhance recommendation systems and predictive algorithms tailored to publisher monetization
Build decision systems that operate in real-time and at scale
Collaborate with data engineering teams to create robust and efficient data pipelines
Apply advanced ML techniques such as reinforcement learning, deep learning, and causal inference
Integrate ML-driven features into production systems and communicate outcomes effectively to technical and non-technical stakeholders
Stay informed on emerging developments in programmatic advertising, predictive modeling for user engagement, and data science approaches that prioritize user privacy

Qualifications

Degree in computer science, machine learning, statistics, mathematics, or a related field
5+ years of experience applying ML and data science in production environments, ideally in the AdTech or digital media sector
Proven experience of deploying machine learning models in live systems
Strong proficiency in Python, SQL, and familiarity with cloud-based ML services (e.g. AWS SageMaker, TensorFlow, PyTorch)
Hands-on experience with real-time data processing frameworks such as Spark, Flink, or Kafka
Deep understanding of probabilistic modeling, optimization techniques, and experimentation frameworks (A/B testing, multi-armed bandits)
Knowledge of the AdTech ecosystem, including RTB, DSP, SSP, and auction theory
Proven ability to analyze and interpret large, complex datasets with precision and insight
Upper-Intermediate level of English

Additional Information

PERSONAL PROFILE

Strong communication skills with the ability to translate technical concepts to diverse audiences
Deep interest in innovation and a strong sense of responsibility for the quality and impact of the work delivered

Required profile