# Chief Data Science Officer at Appodeal

Chief Data Science Officer at Appodeal in Barcelona, Spain. Remote. Posted December 1, 2025.

- Company: Appodeal
- Location: Barcelona, Spain
- Workplace: Remote
- Experience: 5+ years
- Posted: 2025-12-01
- Apply: https://job-boards.greenhouse.io/appodeal/jobs/5014778008
- Source: https://jobmagic.ai/jobs/chief-data-science-officer-appodeal-0xm55b

## Requirements

- 5+ years of experience in Data Science, Machine Learning, or Applied Analytics.
- 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar).
- Demonstrated experience building and leading Data Science teams.
- Proven track record of delivering DS/ML solutions with real business impact.

## Description

**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:

- **Continuous Learning and Growth:** We are passionate about learning, growing personally, and building rewarding careers.

- **Making an Impact:** We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.

- **Solving Exciting Challenges:** We tackle complex problems every day, supported by a team of world-class professionals and mentors.

- **Enjoying the Journey:** We believe in having fun while working toward our goals.

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 ScienceOfficer** 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.

- Improve data quality, observability, and governance standards.

**
Qualifications:Education**

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Math, or a related field (PhD is a plus).

**Experience**

- 5+ years of experience in Data Science, Machine Learning, or Applied Analytics.

- 3+ years in a DS leadership role (Lead DS, Head of DS, Director of DS, or similar).

- Demonstrated experience building and leading Data Science teams.

- Proven track record of delivering DS/ML solutions with real business impact.

**Technical Skills**

- 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.

**Leadership & Soft Skills**

- 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.

**
What We Offer:**

- Opportunity to build and lead the Data Science function of a global product company.

- Direct influence on product roadmap and business outcomes.

- Collaborative and international team environment.

- Competitive compensation package and growth opportunities.

- A chance to shape the future of mobile app monetization.

With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.

**Join us** and help shape the future of mobile app success!
