Chief Data Science Officer

What you'll do

• Lead and scale the Data Science function across the organization
• Translate business and product goals into clear DS/ML initiatives and execution plans
• Build and promote a strong data-driven culture across all teams
• Oversee development, deployment, and monitoring of ML models across Appodeal’s product and monetization ecosystem
• Guide experimentation, modeling, uplift measurement, and algorithmic optimization
• Ensure model quality, reliability, fairness, and performance at scale
• Partner with Product and Engineering teams to integrate Data Science into product roadmaps
• Work with business units to identify opportunities, define DS/ML requirements, and deliver impactful insights
• Communicate DS outcomes, metrics, and recommendations to leadership
• Lead, mentor, and develop a multidisciplinary team of Data Scientists, Analysts, and ML/AI specialists
• Foster knowledge sharing, best practices, experimentation, and continuous improvement
• Drive hiring, talent development, and team structure optimization
• Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows
• Improve data quality, observability, and governance standards

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or related field (PhD is a plus)
• 5+ years of experience in Data Science, Machine Learning, or Applied Analytics
• 3+ years in a Data Science leadership role (Lead DS, Head of DS, Director of DS, or similar)
• Experience building and leading Data Science teams
• Proven track record delivering DS/ML solutions with real business impact
• Strong understanding of ML algorithms, experimentation, predictive modeling, and statistical analysis
• Hands-on experience with Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and analytics tooling
• Solid understanding of data pipelines, big data technologies, and collaboration with Data Engineering teams
• Experience with AdTech, attribution, auction mechanics, or optimization algorithms is a strong plus
• Excellent stakeholder management and communication skills
• Ability to translate technical concepts into business language
• Strong decision-making and prioritization abilities
• Passion for mentoring, coaching, and building high-performing teams

Tech stack

Benefits