Senior Data Scientist

Teads
United States
11 days ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Applications Architecture Information Engineering Data Mining Distributed Systems Python (Programming Language) Machine Learning Regression Analysis Recommender Systems Service-Oriented Architecture
+3 more
Jupyter Notebook Information Technology Golang

Job description

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 latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
  • Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads’ global publisher network., As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:
  • We’ve merged two open internet category leaders-Outbrain and Teads-to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web.
  • As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning.
  • Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role.

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.

Requirements

  • Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly to a wide audience of complicated topics.
  • Strong problem solving skills, and deducing from specific problems wider range products.
  • True scientist skills: fast learner, curious, sense of details, rigorous.
  • Experience in Statistics (i.e. statistical analysis, regression analysis, …) and 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.
  • You are very mindful about your application architecture, performance, testing and maintainability and its overall quality.

Requirements

  • 5+ years of hands-on experience with coding ML based solutions in high scale systems
  • Relevant industry experience / publications 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 Go, Python, Java, AWS, Jupyter notebooks).
  • Knowledge in data engineering.
  • Ability to transform raw data into actionable business insights

Please submit your CV in English.

About the company

Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries., At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:08 min

Building solutions with open source GoLang infrastructure tools

Jad Wahab · LIVE

2:31 min

Data mining literary works for language patterns

Jen Looper Jen Looper · Europe 2026 Virtual

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:16 min

Event-driven Golang backend architecture and cloud deployment

Irina Branovic Irina Branovic · World Congress 2026 Europe

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

Videos

See all

Related articles

See all