Is this you?
Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you!
Our platform combines content discovery and advertising technology in one solution, helping leading TV brands unlock greater value. Titan OS powers devices from major brands including Philips, AOC and JVC, reaching millions of viewers across Europe and LATAM. Titan OS is also powering free premium FAST Channels on selected SONY Android TVs.
Over the last two years, Titan OS has grown revenue 10x and attracted leading investors, including Highland Europe and Mangrove.
At TitanOS, we live by three core values:
- Make things happen - We take ownership, move fast, and deliver impact
- No ego - We collaborate with respect and humility to reach shared goals
- Show genuine passion - We love what we do and never stop learning
Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team!
The Role
We are looking for a Lead Data Scientist to turn our data into products. You will build models and data products that create real value for the business, with a strong focus on advertising: audiences, targeting, measurement and yield.
Advertising will be your main area, but not the only one. You will also help other teams with content recommendations, user engagement and business analytics.
This is a hands-on lead role. You will write code and ship models yourself, and you will also set the direction for data science at Titan OS, mentor other people and work closely with product, engineering and commercial teams.
What you will do:
Build data products
- Take ideas from the first question to a product in production: define the problem, build the model, measure the impact and improve it.
- Design data products that other teams and partners can use, for example audience segments, scores, APIs or dashboards.
- Work with data engineering to make sure models run reliably at scale, with good monitoring and clear ownership.
- Decide when a simple solution is good enough and when a more complex model is worth it.
- Build audience and segmentation models based on viewing behaviour, content and device data.
- Develop targeting, lookalike and contextual models for CTV campaigns.
- Improve ad performance and revenue: forecasting of inventory, pricing and yield optimization, frequency and reach.
- Design measurement and attribution methods so advertisers can understand the value of their campaigns.
- Work with identity and enrichment data (household and device level) to improve reach and match rates.
Other areas
- Content recommendations and personalization for the home screen and FAST channels.
- User engagement and retention analysis.
- Support business decisions with clear analysis, experiments and A/B tests.
Leadership
- Set the data science vision and roadmap together with product and engineering.
- Build the data science team from scratch: hire, mentor and grow new data scientists.
- Define good practices: code quality, reproducibility, experiment design and model evaluation.
- Explain complex results in a simple way to technical and non-technical people, including clients and partners.
