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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with business/client, translating business objectives into actionable machine learning/data science use case.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Physics, Computer Science, Mathematics, Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Data Science. Have direct experience in one or more technical fields: optical metrology, data analysis, lasers, detectors, electro-mechanical and electro-optical devices, electronics, mechanics, material science.
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Verder vinden wij het belangrijk dat jij: een HBO- of WO-opleiding in Computer Science, Data Science, Software Engineering of soortgelijk hebt afgerond óf minimaal 1 jaar werkervaring als Data Engineer; Ervaring hebt met het schrijven van ETL in Python en/of SQL; Ervaring hebt met een Cloudplatform zoals AWS, Azure of Google Cloud.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As this is part of multiple ongoing collaborations, the nature of the work will depend on your strengths and experiences; this is an exciting opportunity to be involved in work with direct real-world impact and leverage our department's expertise to build skills in a number of areas from high-performance computing/GPU acceleration, implementation of machine learning algorithms, computational biology pipelines, matrix operations on sparse data, among others.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Contribute towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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This role will work with Early Clinical Development program's translational biomarker science leads, where processing and interpreting multi-platform and multi-dimensional 'omics' data in clinical settings is being employed to monitor pharmacodynamics in near real-time, and inform future patient selection hypotheses.
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8+ years of relevant professional experience including managing data science and analytics projects, with a background in performing data science and analytics using tools such as Python, R, SAS, SQL, Tableau, Power BI, etc.
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The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team. The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucids Luxury brand.
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5 or more years of demonstrated Experience with HR People Analytics, Workforce Intelligence, or Learning and Talent analytics preferably in corporate HR setting (e.g., Organizational Effectiveness, HR Metrics/Analytics, Data Science, Talent Analytics, Market Research.
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Bachelors or graduate degree in Health Informatics, Public Health, Data Science, Epidemiology, Biostatistics, Public Policy, Health Policy, Health Services Research, Health Information Sciences, Computer Science, or a closely related field.
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data science jobs Title: data architect Company: Anthem
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