Data Scientist

Job summary
Permanent contract
Paris
A few days at home
Salary: Not specified
Skills & expertise
Collaboration and teamwork
Python
Scala
C++
TensorFlow
+1

Ogury
Ogury

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The position

Job description

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 Confirmed Data Scientist to join our Delivery Optimization team, a core unit within Ogury’s AI organization. This team builds and improves the machine learning models that directly impact our performance and revenue: predicting clicks, video completions, auction wins, and forecasting for our media planning tools.

With a team of only 4 Data Scientists and MLOps currently handling a broad scope — from throttling and bid shading to pacing, deal optimization, and forecasting — we’re seeking a motivated Data Scientist to expand our capacity and accelerate innovation.

This role is ideal for someone with 1–3 years of experience in machine learning, who is eager to grow, thrives on modelization work, and wants to see their contributions deliver immediate, measurable business impact.

Why you will love this role

  • Direct impact: your models will improve campaign performance, revenue, and profitability.
  • Growth potential: we value promising junior/confirmed talent who want to evolve their skills and career.
  • Collaboration: work alongside experienced data scientists, engineers, and product experts in Paris, Singapore, and beyond.
  • Innovative environment: contribute to the modernization of our predictive AI stack and shape the next generation of Ogury’s AdTech platform.
  • Work with very large datasets and high-scale in general (tens of Billions of daily predictions)
  • What you will be doing

  • Develop and optimize predictive models (e.g., click-through rate, video completion, auction outcomes, media planning forecasts, …).
  • Collaborate with engineers and data scientists to modernize Ogury’s predictive stack with state-of-the-art algorithms.
  • Train, test, and refine models using tabular and categorical data.
  • Maintain model registry and promotion pipelines through MLFlow.
  • Contribute to real-time algorithmic decisioning systems (campaign pacing, bid shading, throttling, etc.).
  • Work cross-functionally with stakeholders (AdOps, Product, Engineering) to ensure data science outputs are scalable and impactful.
  • What you will bring to Ogury

  • 1–3 years of hands-on experience as a Data Scientist (early career experience welcome if strong fundamentals).
  • Solid knowledge of machine learning modeling (mostly supervised, on tabular + categorical data).
  • Proficiency in Python (mandatory).
  • Experience with TensorFlow, Scikit-learn, and MLFlow.
  • Strong analytical mindset, with the ability to manipulate data and train models effectively.
  • Industry exposure to real-time backend systems (AdTech or similar high-scale environment) is a plus.
  • Familiarity with Go, Scala, C, or C++ is a plus (not required).
  • Growth mindset – eager to learn, adapt, and take ownership in a fast-paced scale-up environment.
  • Technical Stack

  • Languages: Python (primary), Go/Scala/C/C++ (nice-to-have)
  • Frameworks: TensorFlow, Scikit-learn, MLFlow, Airflow
  • Focus Areas: Predictive modeling, algorithmic decisioning, optimization, real-time systems
  • 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. 

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