NoFluffJobs Praca zdalna Expert

Principal Data Scientist

ARDURA Consulting

⚲ Remote

33 600 - 42 840 PLN (B2B)

Wymagania

  • Python
  • SQL
  • DSPs
  • CTV
  • GCP (nice to have)
  • Vertex AI (nice to have)

Opis stanowiska

O projekcie: - Working in an international environment  - Fully remote work - Long-term B2B contract - Casual work culture Wymagania: - Master’s or Ph.D. in a quantitative field (CS, Statistics, Economics, or Hard Sciences). - AdTech Mastery: 7+ years of professional experience, with a heavy concentration on, DSP mechanics, Programmatic Advertising and CTV measurement (A subject matter expert who navigates the complexities of programmatic media with ease, offering a high-level command of CTV dynamics and the execution of precision-engineered, data-driven targeting strategies) - A proven track record of bringing bidder optimization and attribution models from concept to production. - Expert-level Python and SQL, combined with a command of advanced statistical and machine learning methodologies. Nice to have: - Hands-on experience with the GCP / Vertex AI ecosystem, including feature stores and experiment tracking. - Familiarity with LLMs and Agentic AI frameworks, specifically regarding their evaluation and deployment. - A research-oriented approach to problem-solving and the ability to articulate "the math" to non-technical stakeholders. Codzienne zadania: - Architect and deploy sophisticated ML models for real-time campaign optimization, focusing on bid strategies, pacing, and multi-objective budget allocation. - Lead the design of a complex model orchestration layer, balancing conflicting KPIs to ensure a seamless intersection of engineering excellence and product performance. - Drive the ML roadmap for audience targeting, leveraging multi-source data to refine full-funnel outcomes for global advertisers. - Partner with Engineering to transition R&D models into scalable, high-concurrency production pipelines. - Serve as a subject matter expert, translating deep-dive analytics into strategic product recommendations and mentoring the next generation of data scientists.