Senior Data Scientist

**We are Teads**:

- Outbrain Inc. (Nasdaq: OB) and Teads S.A. combined on February 3, 2025 and are operating under the new Teads brand.
- The new Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement.
- One of the most scaled advertising platforms on the open internet, the new Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.
- Please submit your CV in English.

**About the opportunity**:
We are looking for a senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

**What will you do?**:

- As a **Senior** **Data Scientist**, your mission will be to:

- Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
- Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
- Implement your algorithms and models end to end.
- Collaborate with a variety of teams to develop services from design to production.
- Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
- Keep up to date with the latests Machine Learning technologies to make sure we always use the best class algorithms according to the context.

**What will you bring to the team?**:
Your skills and experiences:

- Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience complicated topics.
- Strong problem solving skills, and deducing from specific problems wider range products.
- True scientist skills: fast learner, curious, sense of details, rigourous.
- Experience in Statistics (i.e. statistical analysis, regression analysis,) and/or Artificial Intelligence (i.e. Data Mining, Machine Learning,).
- An appetite for Data Science applied to high-volumetry, low-latency topics.
- Ability to read scientific articles, to analyze critically, and to implement as appropriate.
- Good programming abilities.

Bonus points:

- Relevant industry experience in ad-tech and recommender system
- Msc/Phd in computer science / math
- Industry experience in building engineering at scale
- Large-scale distributed systems, service oriented architecture.
- Previous experience with all or some of the elements of our Stack (we mainly use Scala, Spark, Python, Kafka, AWS, Jupyter notebooks).
- Knowledge in data engineering.

**We care about you**:

- **Security & Savings**: Attractive package providing financial peace of mind, including competitive compensation, profit-sharing, daily meal vouchers (Swile), family health insurance (Alan), and a personalized relocation package (if needed).
- **Career Development**: Continuous investment in our employees' skills: in-house and external training, tech conference opportunities, internal mobility (individual contributor or management career ladder).
- **Life Balance**: A well-balanced work-life for our employees is one of our top priorities: 35+ days off per year, hybrid work (2-3 days remote work per week, more is open to discussion), fully covered parental leave, and reserved daycare places.
- **Wellness**: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives (women speaking groups, dedicated school partnerships), dedicated charitable time and sustainability actions (Eco Tree, subsidy for eco-mobility).

**What are our recruitment process steps?**:
**Life at Teads**:

- Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
- Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.
- Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.
- #LI-Hybrid