Senior Data Scientist (AdTech/DSP)

Devire Outsourcing IT is a cooperation model dedicated to IT specialists based on B2B, delivering projects for clients with innovative and modern projects. The client offers a fully customizable advertising platform for effective CTV campaigns targeting local audiences nationwide.

• At least 7 years of experience as a Data Scientist, preferably in programmatic advertising (AdTech).
• Strong knowledge of DSP, programmatic advertising, and CTV measurement.
• Experience designing and implementing models for bid optimization and campaign attribution.
• Proficiency in Python and SQL, with solid understanding of statistics and machine learning.
• Higher education, preferably Master's or PhD in computer science, statistics, economics, or related fields.
• Experience with GCP, Vertex AI, Feature Stores, or experiment tracking tools is a plus.
• Preferred experience with LLM and agentic AI, as well as AI model evaluation.
• Knowledge of working with DSP platforms such as RTB House, The Trade Desk, Criteo, Adform, MediaMath, Google DV360, Amazon DSP, Quantcast.
• Ability to explain complex technical concepts to non-technical audiences.
• Creative and research-oriented approach focusing on quality and scientific solutions.

• Creating and deploying ML models to optimize programmatic campaigns, including bid strategies, budget allocation, and pacing, especially for CTV.
• Designing model orchestration layers to efficiently operate according to various business KPIs.
• Planning data and model strategies for segmentation and audience targeting using both first-party and external data.
• Collaborating closely with Product and Engineering teams to integrate models and data pipelines into production systems while ensuring performance and scalability.
• Analyzing campaign results and market trends to derive product recommendations.
• Acting as a data science expert in AdTech by sharing knowledge and results with the team and stakeholders.
• Mentoring junior Data Scientists and fostering a team culture based on experimentation, statistics, and creative problem solving.