Data Science, Manager

Paris
Engineering – Engineering /
Full-time /
Hybrid
About Ogury
Ogury is a global adtech company that delivers Personified Advertising solutions grounded in privacy to brands, agencies and publishers by focusing on targeting personas, not people.

We deliver relevant audiences at scale and on quality publisher inventory thanks to our exclusive data, which is meticulously collected and crafted from millions of self-declared customer surveys, enriched with billions of impactful data points, and refined by AI. This results in audience insights and performance not available through any other adtech platform.

Founded in 2014, Ogury is a global organization with a diverse team of 500+ people across 19 countries.

At Ogury, our vision unites us all. But we know that it takes people from all walks of life to come together and make it happen. We embrace and celebrate what makes us different, creating a unique and winning culture where everyone feels safe, has access to the same opportunities, and is excited about bringing their most authentic self to work. Everyday.

Together we’re changing the face of adtech with values that inspire excellence, standards that encourage a leadership mindset, and an inclusive workplace where Ogurians are engaged and know they belong.

Working at Ogury
At Ogury, we pledge to provide all our team members with an equitable voice across our company and community. We understand that to have Ogurians who are engaged, respected, and who feel proud to belong, means creating a safe space where everyone feels comfortable bringing their most authentic selves to work. Everyday.

About the Role

We are looking for a Data Science Manager to lead part of our growing Data Science organization. This role is not technical hands-on, but instead focused on people management, project leadership, communication, and delivery accountability.

As a Data Science Manager, you will oversee a team of 5–6 data scientists, ensuring projects run smoothly, KPIs are met, and progress is clearly communicated to top management. You will play a key role in coaching team members, structuring priorities, and creating a high-performing, supportive environment.

You’ll collaborate closely with our Tech Lead, who will drive technical decisions, while your focus will be on team growth, project delivery, and stakeholder alignment.

Why you will love this role

    • Lead a highly talented Data Science team with direct impact on Ogury’s core AI and optimization initiatives.
    • Focus on people and project leadership rather than hands-on technical execution.
    • Work closely with senior leaders and tech experts in a collaborative, supportive environment.
    • Be part of a global AdTech scale-up with the culture of a startup and the stability of a mature business.

What you will be doing

    • Lead, coach, and develop a team of 4 data scientists, ensuring regular 1:1s, performance assessments, and growth opportunities.
    • Drive project management and reporting: track KPIs, OKRs, milestones, and deadlines to ensure clear visibility across leadership.
    • Act as the bridge between the team and top management, providing accurate, timely updates on progress, blockers, and outcomes.
    • Partner with Tech Leads to balance technical trade-offs with business deadlines and priorities.
    • Foster a collaborative, positive team culture — managing challenges, addressing concerns, and helping individuals stay engaged and productive.
    • Support rationalization of team structures and headcount as the Data Science organization evolves.
    • Apply Agile methodologies and scale-up management practices to ensure efficient workflows in a small-team environment.

What you will bring to Ogury

    • Proven experience as a manager or project lead in Data Science, Data Engineering, Analytics, or a related technical discipline.
    • Strong communication and reporting skills, able to explain complex metrics and progress clearly to both technical and non-technical stakeholders.
    • Skilled in project management: tracking KPIs/OKRs, setting timelines, managing dependencies, and ensuring accountability.
    • Natural people leader: experienced in 1:1s, coaching, and building team cohesion in fast-moving environments.
    • Comfortable under deadline pressure, with the ability to make trade-offs and keep teams aligned.
    • Background in Data Science, Analytics, or Engineering preferred (to understand KPIs and technical discussions), but this role is 100% hands-off technically.
    • Experience in AdTech is a plus, but not mandatory. Experience in tech scale-ups or small teams is highly valued.
    • Fluent in English; French is a plus.
    • Must be based onsite in Paris — this is a hybrid in-office leadership role.
How Ogury supports you
At Ogury, we believe in taking care of our team members and providing a work environment that supports both professional growth and personal well-being. 

While benefits may vary by location, here’s a glimpse of what you can typically expect when you join our team:
- A competitive compensation package
- Flexibility in working hours and location
- Comprehensive benefits coverage
- CSE Benefits
- Generous holiday and leave allowance, in addition national holidays
- Daily meal voucher
- A strong focus on the well-being of our team members, with access to both physical and mental health resources
- And more


We thank you in advance for your interest in Ogury!
#LI-HP1 #LI-Hybrid


Our Commitment
At Ogury, we are committed to fostering an inclusive workplace by providing equal employment opportunities to all. We will consider all qualified applicants without discrimination based on any characteristic protected by applicable laws.

We are committed to providing an accessible and inclusive candidate experience. If you require accommodations during the recruitment process, please contact us. In accordance with applicable laws, we will work with you to provide reasonable support and ensure a fair hiring process.


Please note that this position is for an existing vacancy and is open to all qualified candidates.