Senior Data Scientist - Lead CTV Audience Modeling

Titan Operating System; Barcelona; On-site; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Private health insurance

Job summary

Titan OS is seeking a Senior Data Scientist to lead development of predictive audience models for Connected TV advertising. You will combine Titan OS first-party data with seed audiences and population-level data, owning the methodology from research and experimentation through validation, productionisation and model monitoring.

You will work closely with Data Engineering, Product, Commercial and Advertising teams, serving as a senior technical voice to challenge assumptions, communicate

Qualifications

• 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 weighting, calibration, and hierarchical models.
• Hands-on ML lookalike experience using seed audiences and propensity, classification, ranking or positive-unlabelled methods.
• Advanced ML & feature engineering with GLMs, XGBoost/LightGBM, ensembles, embeddings and large-scale datasets.
• Strong model validation skills including lift, precision@K/recall@K, calibration, A/B testing and drift monitoring.
• Advanced Python & SQL skills with scikit-learn, pandas/NumPy; experience with cloud data platforms and production ML/MLOps.
• BS/MS in a quantitative field; PhD is advantageous but not required.

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 from imperfect samples.
• Build propensity, classification, similarity, ranking and positive-unlabelled models.
• Create robust 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 and campaign outcomes.
• Move successful models into scalable pipelines with versioning, drift detection, monitoring and retraining.
• Partner with Product, Commercial and Engineering teams while setting modelling standards.

Skills

Advanced statistics

Sampling theory

ML model development

Python & SQL

Model validation

Education

BS/MS in quantitative field

PhD advantageous

Tools

scikit-learn

pandas/NumPy

XGBoost/LightGBM

Job description

Titan OS is seeking a Senior Data Scientist to lead development of predictive audience models for Connected TV advertising. You will combine Titan OS first-party data with seed audiences and population-level data, owning the methodology from research and experimentation through validation, productionisation and model monitoring.

You will work closely with Data Engineering, Product, Commercial and Advertising teams, serving as a senior technical voice to challenge assumptions, communicate