Is this you?
Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you!
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!
Role overview:
We are looking for a Senior Data Scientist to lead the development of predictive audience models for Titan OS, turning smaller seed and observed datasets into robust predictions of much larger customer populations for Connected TV advertising. This is a deeply technical role focused on statistics, sampling theory and machine learning, with a strong emphasis on representativeness, selection bias, population extrapolation and uncertainty.
You will combine Titan OS first-party data with seed audiences and population-level datasets, owning the methodology from research and experimentation through validation, productionisation and model monitoring. Working closely with Data Engineering, Product, Commercial and Advertising teams, you’ll be a senior technical voice responsible for challenging assumptions, communicating uncertainty and setting rigorous modelling standards with direct commercial impact.
Key responsibilities:
- Build models that expand seed and sample audiences into high-value cohorts across the wider CTV population.
- Apply weighting, calibration, MRP and hierarchical methods to extrapolate reliably from imperfect or non-representative samples.
- Build propensity, classification, similarity, ranking and positive-unlabelled models to identify users with high affinity to a seed audience.
- Create robust behavioural and contextual features from large-scale event data while preventing target leakage and instability.
- Diagnose selection bias, coverage gaps and covariate shift, and communicate uncertainty in audience estimates.
- Measure lift, precision/recall, calibration and stability using holdouts, temporal/geographic tests and observed campaign outcomes.
- Move successful models into scalable pipelines with versioning, drift detection, monitoring and retraining.
- Partner with Product, Commercial and Engineering teams while setting rigorous modelling standards across the Data team.
Requirements
What makes you a great fit:
- 8+ years of professional experience in Data Science, Applied Statistics, Quantitative Research, Econometrics or a closely related field.
- Deep statistical expertise in sampling theory, estimation, inference, probability, uncertainty quantification and experimental design.
- Strong sample-to-population experience using techniques such as post-stratification, raking, calibration/propensity weighting, hierarchical models, or MRP.
- Hands-on ML lookalike experience using seed audiences, CRM/customer samples or known converters with propensity, classification, similarity/ranking or positive-unlabelled methods.
- Advanced ML & feature engineering skills across GLMs, XGBoost/LightGBM, ensembles, embeddings and large-scale behavioural datasets.
- Strong model validation skills including lift/gains, precision@K/recall@K, probability calibration, A/B testing, stability and drift monitoring.
- Advanced Python & SQL skills with scikit-learn, pandas/NumPy and experience with large-scale cloud data platforms and production ML/MLOps are highly desirable.
- Strong communication and quantitative foundations with a BS/MS in a relevant quantitative field; a PhD is advantageous but not required.
Benefits
Reasons to apply:
- Competitive compensation
- Private health insurance
- Friendly, diverse, and international work environment
- Opportunity to work outside of your comfort zone and develop professionally in an exciting and fast-growing CTV industry.
- Change the future of TV! A unique opportunity to join a well-funded, high-growth company in the early stages to help shape a product/business that will impact millions.
If you're excited about this position, don’t hesitate to apply. We’re waiting for you to join us! And if you want to know more about us, follow us on LinkedIn!
Skills Required
- 8+ years of professional experience in Data Science, Applied Statistics, Quantitative Research, Econometrics, or a closely related field.
- Deep statistical expertise in sampling theory, estimation, inference, probability, uncertainty quantification, and experimental design.
- Strong experience with sample-to-population techniques such as post-stratification, raking, calibration or propensity weighting, hierarchical models, or MRP.
- Hands-on machine learning lookalike experience using seed audiences, CRM or customer samples, known converters, propensity, classification, similarity, ranking, or positive-unlabelled methods.
- Advanced machine learning and feature engineering skills across GLMs, XGBoost or LightGBM, ensembles, embeddings, and large-scale behavioral datasets.
- Strong model validation skills, including lift or gains, precision@K, recall@K, probability calibration, A/B testing, stability, and drift monitoring.
- Advanced Python and SQL skills.
- Experience with scikit-learn, pandas, NumPy, large-scale cloud data platforms, and production ML or MLOps.
- Strong communication and quantitative foundations.
- BS or MS in a relevant quantitative field.
- PhD in a relevant quantitative field.
What We Do
Titan OS S.L. is a technology company headquartered in Barcelona, with branches in Amsterdam and Taipei. The company specialises in developing software and solutions to unleash the full potential of Connected TV. We are re-thinking TV to change the way people discover content and how brands connect with audiences, making content discovery easier. Our aim is to foster collaborations across the entire TV ecosystem to grow business together with TV manufacturers, retailers, media companies, content creators, publishers, and brands. Our independent operating system powers smart TV devices from world-class manufacturers across Europe and Latin America, offering millions of viewers a personalised experience from the moment they switch on their TV. With tailored recommendations, we seamlessly integrate all the content on the homepage, from streaming subscription services, free and paid movies, series and TV shows to linear channels.
