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Data Scientist (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data Scientist (f/m/d) Your Responsibilities: Translate business needs into data analytics/reporting requirements to support decisions and workflows with required information across CureVac’s value chain with specific focus topics in the area of R&D/Clinical or Manufacturing/Supply Chain Apply advanced statistical analysis and predictive modeling techniques to analyze datasets Develop and evaluate statistics and cutting-edge machine learning algorithms & models to make data analysis more efficient Perform large-scale experimentation to identify hidden relationships, trends, and patterns between variables in large datasets Create compelling data visualizations and reports that communicate complex findings and recommendations to non-technical stakeholders, facilitating informed decision-making Share knowledge, best practices, and insights in a growing data analytics community at CureVac Your Qualifications: University degree in computer science, data science, statistics or a related field, or an equivalent qualification Experience in solving data analytics challenges in the Life Science area High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques Strong programming skills in languages such as Python, R, SQL, and ideally experience with MS-Azure-based data science capabilities (e.g., Synapse, Azure ML, Databricks) and visualization (e.g., Power BI, Plotly) Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Strong communication skills, also to non-technical audiences, to guide and inspire Willingness to understand use cases to be enabled by data analytics Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.26.05.202465183 WiesbadenIT, TK, Software -
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Data and AI/ML Engineer (f/m/d)
To strengthen our team in Tübingen, Wiesbaden or Amsterdam, we are currently looking to recruit a Data and AI/ML Engineer (f/m/d) Your Responsibilities: Design and develop data pipelines that extract data from various sources (e.g., databases, data warehouses, APIs, and external systems), transform data into the desired format, and load it into the appropriate data storage systems focusing on MS Azure services (e.g., Data Factory, Synapse, Databricks) Ensure data consistency and integrity during the integration process, performing data quality checks, data validation, and cleaning as needed Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance Design, develop, and deploy AI/ML solutions, working closely with data scientists to transform data insights into predictive models and intelligent systems ensuring data quality, security, and governance Monitor, test, and evaluate the performance of AI/ML models, implementing continuous improvement processes to enhance accuracy and efficiency Collaborate with business teams in the areas of R&D/Clinical or Manufacturing/Supply Chain to integrate solutions into business processes, ensuring business impact and operational feasibility in daily activities Share knowledge, best practices, and insights in a growing data analytics and engineering community at CureVac Your Qualifications: University degree in computer science, data science, software engineering, or related quantitative field, or an equivalent qualification Work experience in designing and managing data pipelines with knowledge about data modeling, ETL processes, and big data technologies (e.g., Spark) to support AI & ML on a public cloud platform, preferably MS Azure Experience working with advanced statistics, machine learning, and deep learning including different architectures, embeddings, loss functions, and optimization strategies High proficiency in programming languages such as Python, SQL, and DataWeave and libraries/frameworks, e.g., TensorFlow, PyTorch Ability to work in diverse, cross-functional teams in a dynamic business environment based on agile development principles Capability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options also to non-technical audiences Fluency in English, German is a plus We offer you a challenging and varied opportunity with an innovative and dynamic company that is expanding.26.05.202465183 WiesbadenIT, TK, Software
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