2024 Data Scientist Internship (male/female/diverse)

This role is open across various locations in Germany (Berlin, Munich). Amazon Internships are available throughout the year and may last from 3 to 6 months full-time. Please note that these are not remote internships. Are you an MS or PhD student interested in a 2024 Data Science Internship? We are seeking a customer-focused Data Scientist Intern who can innovate in a business environment, construct and deploy machine learning models to drive transformative innovation and scale it to the EU/worldwide. If this describes you, join our Data Science teams at Amazon for an exciting internship opportunity. If you have an insatiable curiosity and always want to learn more, then you are in the right place. Key job responsibilities As a Data Science Intern, your key job responsibilities will include: * Collaborating closely with scientists and engineers to create and develop new algorithms to provide scientific solutions for Amazon problems. * Working with an interdisciplinary team on customer-focused research. * Experiencing Amazon's customer-centric culture. * Creating and delivering Machine Learning projects that can be rapidly begun locally and scaled to the EU/worldwide. * Building and deploying Machine Learning models utilizing large data-sets and cloud technology. * Creating and sharing technical papers and presentations with audiences of varying levels. * Defining metrics and designing algorithms to estimate customer satisfaction and engagement. For more information on the Amazon Science community, please visit the Science hub page and the EMEA Splash page. For more information on the Amazon Science internship program in EMEA, please visit: https://amazonscienceopportunitiesemea.splashthat.com/ We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU Basic Qualifications Basic qualifications * Enrolled in Master's or Ph.D. degree in math, statistics, computer science, or related science field. * Understanding of Machine Learning, Deep Learning, Forecasting, Experiments, and Causal Inference. * Proficiency in model development, model validation, and model implementation. * Experience with MySQL/PostgreSQL/Redshift. * Proficiency with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab). * Exceptional design and problem-solving skills, passion for quality and engineering excellence at scale. Preferred Qualifications Preferred qualifications * Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data. * Experience implementing and deploying models at scale. * Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive). * Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2. * Experience in technical communication, at a level appropriate for the audience. * Amazon values knowledge of Accessibility regarding its products, devices, services, websites or environments, to be usable by people with disabilities. * Previous corporate work experience is not required. Amazon is an equal opportunity employer. We passionately believe that employing a diverse workforce is fundamental to our success. We make recruiting decisions based on your experience and skills. We value your eagerness to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to learn more about how we collect, use, and transfer the personal data of our candidates. m/f/d