Br /br /We are seeking a skilled Computer Scientist with expertise in Python and SQL to join our challenging data analysis and software integration project.br /br /br /You will be responsible for a critical project focused on optimizing our data analysis infrastructure and integrating enhanced reporting capabilities into our existing application.br /br /br / br /br /br / br /br /br /Key tasks includebr /br /br /br /Refining and optimizing an existing Python analysis script used for production data, including resolving issues related to the localization of measured components within a larger structure (e.g., dies within a wafer).br /br /Designing and implementing a structured database to efficiently store and retrieve large, distributed datasets (currently in JSON format), potentially utilizing SQL or Parquet files for fast-queryable Storage.br /br /Generating graph-rich reports that clearly showcase key insights derived from the production data.br /br /Developing and embedding the resulting data analysis and reporting API into our current QT/Python application.br /br /Ensuring fast data retrieval and querying capabilities for large-scale datasets.br /br /br /br / br /br /br /Required knowledge and skillsbr /br /br /br /Advanced proficiency in Python programming.br /br /Strong experience with Data Mining and data manipulation techniques.br /br /Expertise in SQL database design, querying, and optimization.br /br /Familiarity with data visualization/statistical tools like Jmp is a significant plus.br /br /Exposure to Machine Learning concepts is beneficial.br /br /br /br / br /br /br /What we offerbr /br /br /br /We offer an exciting assignment where you will be an integral part of a community committed to making the impossible possible.br /br /You will directly contribute to shaping the technology that will define the society of tomorrow.br /br /Duration of the Assignment: 1 yearbr /br /Desired Start Date: ASAPbr /br /Work Regime: Full-timebr /br /Location flexibility: We champion a healthy work-life balance by providing the flexibility to work both from our office premises and remotely from home, ensuring you remain an integral and connected member of our team.br /