Top Data Science Jobs
The Discovery Scientist, Protein Designer will be responsible for independently designing and executing protein design projects, utilizing machine learning and evolutionary approaches, while collaborating on multi-disciplinary efforts and contributing to open-access publications.
Lead data conversion projects ensuring data integrity, accuracy, and accessibility. Collaborate with team and customers for requirements gathering, data mapping, and cleansing. Provide technical support and guidance to customers during data conversion process. Partner with Data Science team to improve processes and accuracy. Deliver timely response to customers and team related to data migration tasks.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
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Deliver scalable, performant ETL processes in multi-tenant cloud infrastructures, focusing on healthcare data. Design and implement enterprise data schemas, clean and transform data sets, and operate ETL software components. Collaborate with team members and clients to achieve scalability and high performance.
As a Marketing Science Analyst, you will collect and analyze consumer behavior data, develop statistical models, and collaborate with teams to create insights that improve business performance. You'll use analytics to drive decisions and communicate findings through presentations.
As Principal Data Scientist, you will define and execute Trustly's data science and AI strategy, develop machine learning models, drive adoption and implementation of AI technologies, collaborate with stakeholders, and monitor data governance and compliance.
The AI scientist will modify and fine-tune large language models to improve human interaction, enable external tool calling, manage model alignment based on deployment feedback, and engage in model pre-training. Strong expertise in generative AI and MLOps is essential, along with proficiency in AI frameworks like TensorFlow and PyTorch.
As a Data Scientist at HiLabs, you will partner closely with a team of stakeholders to solve real problems in the healthcare domain using AI/ML techniques. Responsibilities include developing machine learning algorithms, conducting data analysis, and implementing enhancements to existing solutions.
The Senior Spectroscopy Scientist will lead research projects, develop spectroscopy techniques, analyze complex data, and collaborate with cross-functional teams. Responsibilities include designing experimental setups and mentoring junior scientists while contributing to scientific publications and staying abreast of advancements in spectroscopy.
The Research Scientist at ERG will manage projects related to oil and gas monitoring and other air sampling tasks. Responsibilities include designing and building equipment for air sampling, writing technical documents, and conducting field work up to 30% of the time. Mechanical and fabrication skills are essential, alongside knowledge of programming languages like Python, HTML, and R.
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