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Titan OS
Titan OS
51 – 200 Xodimlar
Apparat ta’minotiB2BMedia
Titan OS ulangan televizorlar uchun mustaqil Yevropa operatsion tizimini ishlab chiqadi. Kompaniya televizor ishlab chiqaruvchilar va kontent provayderlari bilan hamkorlik qilib, tomosha qilish jarayonini yanada shaxsiylashtiradi va navigatsiyani osonlashtiradi. Uning kontentga yo‘naltirilgan platformasi striming xizmatlari va an’anaviy telekanallarni birlashtirib, tomoshabinlarga moslashtirilgan tavsiyalar orqali nima tomosha qilishni topish va yagona pult yordamida kontentdan foydalanish imkonini beradi. Shuningdek, kompaniya qurilma ishlab chiqaruvchilar va teleradiokompaniyalarga interfeysni moslashtirish, ilovalar va kanallarni integratsiya qilish hamda daromadni taqsimlash imkoniyatlari orqali auditoriyadan daromad olish vositalarini taqdim etadi.
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Kompaniyadagi ish o‘rinlari

Senior Data Scientist, CTV Audience Modeling – Titan OS (Barcelona Hybrid)

Develop predictive audience models for Titan OS’s Connected TV advertising platform. Use sampling theory and machine learning to extrapolate customer populations from imperfect data.

ESIspaniyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
BulutNumpyPandasPythonScikit-LearnSQL

Tavsif

  • Expand seed and sample audiences into high-value cohorts across the broader Connected TV population
  • Use weighting, calibration, MRP, and hierarchical techniques to extrapolate reliably from imperfect or non-representative samples
  • Develop propensity, classification, similarity, ranking, and positive-unlabelled models to find users with strong affinity to seed audiences
  • Engineer reliable behavioural and contextual features from large-scale event data while limiting target leakage and model instability
  • Investigate selection bias, coverage gaps, and covariate shift, and explain uncertainty in audience estimates
  • Evaluate lift, precision and recall, calibration, and stability through holdouts, temporal and geographic testing, and observed campaign results
  • Deploy successful models through scalable pipelines with version control, drift detection, monitoring, and retraining
  • Work with Product, Commercial, and Engineering teams while establishing rigorous modelling standards across the Data team

Talablar

  • Bring at least 8 years of professional experience in Data Science, Applied Statistics, Quantitative Research, Econometrics, or a closely related discipline
  • Demonstrate deep statistical knowledge spanning sampling theory, estimation, inference, probability, uncertainty quantification, and experimental design
  • Have substantial experience generalising samples to populations using post-stratification, raking, calibration or propensity weighting, hierarchical models, or MRP
  • Have hands-on experience developing ML lookalike models from seed audiences, CRM or customer samples, or known converters using propensity, classification, similarity, ranking, or positive-unlabelled methods
  • Apply advanced machine learning and feature engineering across GLMs, XGBoost or LightGBM, ensembles, embeddings, and large behavioural datasets
  • Validate models using lift or gains, precision@K or recall@K, probability calibration, A/B testing, stability analysis, and drift monitoring
  • Work fluently with Python and SQL, including scikit-learn, pandas, and NumPy
  • Experience with large-scale cloud data platforms and production ML or MLOps is highly desirable
  • Communicate clearly and bring strong quantitative fundamentals
  • Hold a BS or MS in a relevant quantitative field; a PhD is advantageous but not required

Imtiyozlar

  • Competitive compensation
  • Private health insurance
  • A friendly, diverse, and international working environment
  • Professional development opportunities through challenging work in the fast-growing Connected TV industry
  • The chance to join a well-funded, high-growth company early and help shape a product and business expected to affect millions

O‘xshash ish o‘rinlari

State of Florida

Distributed Computer Systems Analyst II

State of Florida
HukumatSog‘liqni saqlashTa’lim
USAmerika Qo‘shma ShtatlariFLFlorida
47 668 $ – 60 000 $ / yil
OfisdaTo‘liq stavkaSeniorYetakchiTalab Qilinadigan Til: inglizchaTizim muhandisi
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