# Chief Data Science Officer at Appodeal > Spain · Director+ · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Aappodeal%3A5014778008 (read 2026-11-08). ## Facts (observed) - Company: [Appodeal](https://alderhq.app/companies/appodeal) - Location text: Barcelona, Spain; Barcelona - Where it can be done from (inferred): Spain (evidence: "Location: Barcelona, Spain; Barcelona") - Posted: 2025-12-01 (342 days ago) - First seen by alder: 2026-11-04 · last verified: 2026-11-07 - Reposted: 0 times · edited: 1 times - Apply on the employer's site: https://job-boards.greenhouse.io/appodeal/jobs/5014778008 ## Pay and sponsorship - Posted pay: not posted - Market band for similar posted roles (Barcelona, n 5): p25 €52k, median €60k, p75 €62k ## Description (the employer's text) Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. ### Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: - Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. - Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. - We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. - Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. - Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. - Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. - Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. We are now expanding our data capabilities and seeking an experienced Chief Data Science Officer to lead and scale our Data Science UA team function in Barcelona. This role is ideal for a leader with a strong technical background, excellent people-management skills, and the ability to turn data into actionable, high-impact product and business outcomes. ### Role Overview Chief Data Science Officer will be responsible for building and growing our Data Science organization, driving advanced analytics and ML initiatives, and ensuring our products and business units are empowered by high-quality insights and predictive capabilities. You will work closely with Product, Engineering, Revenue, and Leadership teams to translate business needs into DS/ML solutions, strengthen our data infrastructure, and support decision-making across the ecosystem. This is a strategic and hands-on leadership role with significant influence on product evolution, optimization algorithms, and operational excellence. Key Responsibilities: ### Leadership & Strategy - 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. - Applied Data Science & ML. - 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. - Collaboration & Stakeholder Management. - 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. ### Team 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. ### Data Infrastructure & Governance - Collaborate with Data Engineering and MLOps teams to ensure robust pipelines, feature stores, and model deployment workflows. --- Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aappodeal%3A5014778008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.