12 data scientist English-speaking jobs in Mainz

Data Integrity: Ensure data integrity requirements according to GMP standards. ... Interdisciplinary Projects: Participate in projects within interdisciplinary teams to define adequate data

You have a smartphone with mobile data access. Sounds good? Then apply now in just a few steps.

Nice-to-Haves Experience with SQL or Redshift for data analytics is a plus. ... Research and enrich ICP & persona data across our TAM with LLMs and AI agents Set up personalized, trigger-based

plans (SAPs), and submission strategies to meet project deliverables and timelines for statistical data ... to SOPs, regulatory standards, and reproducibility Partner with Biostatistics, Clinical Development, Data ... standards, FDA/EMA guidelines) Drive the creation, review, and validation of SAS/R programs for clinical data ... global regulations and guidelines Solid understanding of industry standards applicable to clinical study data ... reengineering to contribute to BioNTech’s global clinical initiatives that enhances its clinical operation, data

At Swissbit, we're redefining data storage and security for the connected world. ... This expertise allows our customers to reliably store and protect data in industrial, NetCom, automotive ... or Technical Sales in a B2B tech environment Strong domain knowledge in Networks & Communications, Data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

responsibilities: - developing and implementing strategies to increase user engagement, - analyzing data

You have a smartphone with mobile data access. Sounds good? Then apply now in just a few steps.

You have a smartphone with mobile data access. Sounds good? Then apply now in just a few steps.

Collaborate closely with Data Scientists, ML Engineers, and Product Teams to ensure seamless model deployment