Senior Data Scientist (AdTech/DSP)

Devire Outsourcing IT is a collaboration model dedicated to IT specialists based on self-employment (B2B), delivering projects for clients running innovative and modern projects. The client offers a fully customizable advertising platform for effective CTV campaigns, enabling reach to local audiences nationwide. The position is 100% remote with a start ASAP.

• Minimum 7 years of experience as a Data Scientist, preferably in programmatic advertising (ad-tech).
• Good 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 knowledge of statistics and machine learning.
• Higher education, preferably a master's or doctoral degree in computer science, statistics, economics, or natural sciences.
• Experience with GCP, Vertex AI, Feature Stores, or experiment tracking tools is a plus.
• Experience with LLM and agentic AI and AI model evaluation is desirable.
• Experience working with DSP platforms such as RTB House, The Trade Desk, Criteo, Adform, MediaMath, Google DV360, Amazon DSP, Quantcast.
• Ability to communicate complex technical topics clearly to non-technical audiences.
• Creative and research-oriented approach focusing on quality and solid scientific solutions.

• Creating and deploying ML models to optimize programmatic campaigns, including bidding strategies, budget allocation, and pacing, especially for CTV.
• Designing model orchestration layers to work efficiently with various business KPIs.
• Planning data and model strategies for audience segmentation and targeting using first-party and third-party data.
• Collaborating closely with Product and Engineering teams to integrate models and data pipelines into production systems, ensuring performance and scalability.
• Analyzing campaign results and market trends and translating insights into product recommendations.
• Acting as a data science expert in ad-tech, 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.