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

- You have a completed bachelors degree, and strong academic results in statistics or have equivalent background in a related field, familiar with a broad range of statistical methods including Bayesian optimization & other sequential learning techniques. - You have the ability to apply statistical engineering or similar methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models. - You are available for a duration of at least 6 months. - You work effectively with diverse groups of people by embracing creativity, innovation, and initiative. - You are skilled in making complex decisions using all available data but confident to also rely on your instincts. - You have strong communication & collaboration skills, able to explain sophisticated statistical concepts to non-experts and maintain relationships within our team and with partner organizations. - You can speak and write proficiently in English. - Additional awareness of coding skills in Python, R, and/or SAS & ability to connect to cloud databases and write queries to download data, along with foundations of machine learning/artificial intelligence, JMP software, GitHub, SQL and/or Databricks would be advantageous. - Short work experience, internships, and studies abroad are considered a plus.