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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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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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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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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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Masters Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelors Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field. Working across one or more of our main subject areas – research, marketing, engineering frameworks – the Data Engineer role is right for you if you’re a “hands-on” coder who can build and cleanse large datasets in order to report out actionable insights.
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Masters Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 3+ years of relevant work experience. Bachelors Degree in bioinformatics, computational biology, data science, data engineering, or other applied science with 5+ years of relevant work experience.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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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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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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The role of the Associate Vice President of Bioinformatics & Data Analytics is pivotal, tasked with sculpting the bioinformatics blueprint essential for groundbreaking target discovery and translational science endeavors.
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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Additionally, the Senior Director will help build and lead a new team within Audubon Technology, operating in close partnership with the other Data & Technology teams (Data Analytics, Data Engineering, and Enterprise GIS), Audubon Conservation (including the Science Division), the Chief Strategy Integration office, and other business teams across Audubon.
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The Data Analyst will work in an interdisciplinary group of faculty, staff, and students conducting translational human neuroscience research with healthy individuals and clinical populations. The Mood and INdividual Differences (MIND) Lab in the Department of Psychiatry and Behavioral Health at The Ohio State University Wexner Medical Center is seeking a full-time Neuroimaging Data Analyst for studies of brain structure and function in neuropsychiatric diseases and their treatments.
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data science jobs Title: senior engineer Company: Nike Inc
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