Senior Data Scientist

As a Data Scientist at our Media Measurement team, you will play a crucial role in utilizing state-of-the-art technologies and rigorous methods to track media consumption across various platforms and devices. Your main responsibilities include: - Owning and collaborating with your team on various Data Science solutions from brainstorming to maintenance - Developing solutions leveraging data science, statistical analysis, and machine learning models - Enhancing methods and tools while contributing to communities of practice in Data Science - Communicating effectively with non-data scientists in different departments, explaining Data Science principles in simple terms - Making data your ally by understanding its strengths and weaknesses to create effective solutions - Keeping abreast of recent Data Science approaches in the market - Promoting knowledge exchange within the company and representing GfK's Data Science expertise at conferences and workshops To excel in this role, you should possess the following qualifications: - A Master's degree or PhD demonstrating modeling, statistics skills, and at least 7 years of experience in Data Science, Statistics, and ML models - Ability to communicate complex methodologies to both technical and non-technical audiences - Proficiency in statistical and machine learning modeling, including statistical tests, classification, predictive modeling, and handling of missing data - Experience with analytical programming languages, specifically Python, and its ecosystem Additionally, experience with the following would be beneficial: - Knowledge of cloud computing environments, especially AWS - Advanced software development skills like unit testing, CI/CD, and Git - Basic understanding of database handling, particularly SQL - Familiarity with evolving Data Science ecosystem and frameworks In addition to the above, you can look forward to: - Engaging in meaningful projects that offer continuous learning opportunities - Working with a talented team of experienced individuals - Enjoying a supportive work environment that encourages training and personal development - Flex Office arrangement for a balanced work-life routine Our Benefits include: - Flexible working environment - Volunteer time off - LinkedIn Learning access - Employee-Assistance-Program (EAP) NIQ is the worlds leading consumer intelligence company, providing comprehensive insights into consumer behavior and growth opportunities. The company's merger with GfK in 2023 has further enhanced its global presence. With a focus on diversity, equity, and inclusion, we strive to create an environment where different perspectives drive innovation. All hiring decisions are made without bias, in adherence to applicable laws. If you have any queries or require accommodations, please reach out to your local HR representative. As a Data Scientist at our Media Measurement team, you will play a crucial role in utilizing state-of-the-art technologies and rigorous methods to track media consumption across various platforms and devices. Your main responsibilities include: - Owning and collaborating with your team on various Data Science solutions from brainstorming to maintenance - Developing solutions leveraging data science, statistical analysis, and machine learning models - Enhancing methods and tools while contributing to communities of practice in Data Science - Communicating effectively with non-data scientists in different departments, explaining Data Science principles in simple terms - Making data your ally by understanding its strengths and weaknesses to create effective solutions - Keeping abreast of recent Data Science approaches in the market - Promoting knowledge exchange within the company and representing GfK's Data Science expertise at conferences and workshops To excel in this role, you should possess the following qualifications: - A Master's degree or PhD demonstrating modeling, statistics skills, and at least 7 years of experience in Data Science, Statistics, and ML models - Ability to communicate complex methodologies to both technical and non-technical audiences - Proficiency in statistical and machine learning modeling, including statistical tests, classification, predictive modeling, and handling of missing data - Experience with analytical programming languages, specifically Python, and its ecosystem Additionally, experience with the following would be beneficial: - Knowledge of cloud computing environments, especially AWS - Advanced software development skills like unit testing, CI/CD, and Git - Basic understanding of database handling, particularly SQL - Familiarity with evolving Data Science ecosystem and frameworks In addition to the above, you can look forward to: - Engaging in meaningful projects that offer continuous learning opportunities - Working with a talented team of experienced individuals - Enjoying a supportive work environment that encourages training and personal development