MSc Thesis Project – Improvements in Sampling (m/f/d) - Bonn

- Completed bachelors degree with strong academic results in statistics or equivalent background in a related field - Familiarity with a broad range of statistical methods, including Bayesian optimization and other sequential learning techniques - Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models - Availability for a duration of at least 6 months - Ability to work effectively with diverse groups by embracing creativity, innovation, and initiative - Skilled in making complex decisions using available data while trusting gut instinct - Strong communication and collaboration skills, able to explain complex statistical concepts to non-experts and maintain relationships with various partner organizations - Proficient in spoken and written English - Awareness of coding skills in Python, R, SAS, and ability to connect to cloud databases and write queries to download data - Knowledge of foundations of machine learning/artificial intelligence, JMP software, GitHub, SQL, and/or Databricks is an advantage - Short work experience, internships, and studies abroad are considered a plus