2 часа назад
Data Scientist (Ad Intelligence)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist (Ad Intelligence) (Python/Machine Learning): Building models and algorithms that estimate advertiser spending and audience reach across the web with an accent on business logic, statistical rigor, and scalable model development. Focus on designing production ML pipelines, choosing between heuristics and complex models, validating data quality, and communicating model assumptions and limitations.
Location: Prague, Czech Republic; hybrid work
Company
provides a digital intelligence platform for analyzing web activity, advertising, and audience reach.
What you will do
- Build models and algorithms that estimate advertising intelligence metrics, advertiser spending, and audience reach across the web.
- Translate business logic into model assumptions, features, and validation rules.
- Design, evaluate, and productionize machine learning models and statistical algorithms.
- Own work end-to-end, from exploration and proof of concept through research, model selection, evaluation, and production implementation.
- Collaborate with data analysts to identify and resolve data quality issues.
- Document and communicate model assumptions, limitations, and the meaning of reported metrics.
Requirements
- MSc in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
- 2–4 years of experience building and deploying machine learning models or statistical algorithms in production.
- Strong Python skills and hands-on experience with modern machine learning algorithms.
- Experience with PySpark or the ability and willingness to learn it quickly; existing solutions run on Spark.
- Experience with big data in a cloud environment is advantageous; Databricks is used daily.
- Analytical and strategic thinking, ownership, collaboration, pragmatism, and comfort using AI coding tools such as Claude or Cursor.
Culture & Benefits
- Modern office in the DOCK IN area of Prague 8, designed for focus and collaboration.
- Five weeks of vacation, an additional day off during the birthday month, and either three sick days or a Multisport card.
- MacBook Pro M3, dual monitors, and an electric standing desk.
- Team-building events, parties, weekly lunches, and happy hours.
- Access to equity programs, Career Week, personalized coaching, and ongoing learning opportunities.
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