Senior/Staff Data Scientist

Join Sovrn, a leading company in the AdTech industry, as a Senior/Staff Data Scientist. In this strategic technical leadership role, you will drive high-impact data initiatives, solve ambiguous problems, and influence the future of data science in AdTech. You will design, implement, and deploy advanced predictive models, analyze large-scale datasets, and collaborate cross-functionally to identify AI/ML opportunities. Additionally, you will mentor other data scientists and communicate findings to both technical and non-technical stakeholders. Enjoy a range of benefits, including first-class health benefits, flexible vacation, retirement benefits, and opportunities for professional growth.

• Conduire des initiatives de données à fort impact au sein de l'organisation, en utilisant une combinaison de vision stratégique et d'exécution tactique.
• Concevoir, mettre en œuvre et déployer des modèles prédictifs avancés, des algorithmes et des expériences qui optimisent les performances publicitaires, l'engagement des utilisateurs et les stratégies de monétisation.
• Collaborer de manière transversale pour identifier les opportunités d'IA/ML à fort impact, les traduire en feuilles de route actionnables et livrer des résultats mesurables.

• Deep technical proficiency across classical ML (supervised/unsupervised), reinforcement learning, and deep learning, with a strong foundation in statistical modeling, A/B testing, and causal inference
• Demonstrates prompt engineering discipline by systematically evaluating prompts across model families using quantitative evaluation
• Proficiency with Python, SQL, cloud-based data ecosystems, modern AI/ML frameworks (e.g., Pandas, Scikit-Learn, PyTorch/TensorFlow, LangChain, Hugging Face, PydanticAI), experience with large-scale datasets and distributed computing frameworks (e.g., Spark, PySpark), and Databricks running on AWS Cloud
• Proven ability to deploy autonomous agents to production including optimizing inference performance, managing latency/cost tradeoffs, and ensuring robust model evaluation at each stage
• Demonstrated ability to influence across technical and non-technical audiences, lead cross-functional initiatives, and work in a collaborative, agile environment (Scrum and Kanban)
• Active use of AI tools in daily technical work — integrates coding assistants, orchestration frameworks, and search-augmented workflows in ways that accelerate prototyping and reduce iteration cycles
• We understand that no candidate is perfectly qualified for any job. Experience comes in different forms, many skills are transferable, and passion goes a long way
• Strong understanding of ad tech ecosystems (e.g., RTB, DSP/SSP workflows, auctions, and yield optimization) is a big plus
• A strategic mindset with strong product intuition and experience working at scale
• Experience in data science and applied machine learning, with a strong record of delivering business impact
• Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment
• We expect you to learn new things in this role and encourage you to apply if your experience is close to what we're looking for