Senior Data Scientist in Ad Tech
- Stay on top of the state-of-the-art science and technology of large scale advertising systems
- Areas of interest are models for CTR and CVR, on-line learning regimes, cold start, efficient and effective embeddings for users, ads and similar, ad matching, two tower architecture, ad match, ad ranking, etc.
- Work with teams of data scientists and machine learning engineers to identify investment opportunities
- Help the teams implementing the solutions - on multiple projects as an advisor and on projects you select as a part of the implementation team where you will be expected to participate in bringing new projects to production environment
- Work with product managers to find data science and AI projects with best cost/benefit risk/reward ratios
- Spend time experimenting with new approaches by yourself
- Follow industrial and academic research, occasionally publish at conferences
- Deep experience of the ad tech industry use of AI and data science
- Strong communication skills, working collaboratively with the team, able to teach concepts, and communicate clearly complicated topics to expert audiences
- 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/or Artificial Intelligence (i.e. Data Mining, Machine Learning, ...)
- Ability to read scientific articles, to analyze critically, and to implement as appropriate
- You are very mindful about your application architecture, performance, testing and maintainability and its overall quality
- The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers
- The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B
- Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes
- 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).
- 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 all the support, tools, and development opportunities you need to excel in your role.
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