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Proficiency in ML/Data Science/Statistical Modeling languages such as Python, R to build Propensity Models, Customer Segmentation, Churn Scores, Forecast Models etc. 3+ years of expertise with modern data science workflows on the cloud (Git, Jupyter, Python, AWS, Azure.
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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 a senior member, you will spearhead the design, development, and implementation of advanced data science models, utilizing large-scale log-level data in Google BigQuery and Snowflake.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Apache Spark is a multi-language engine for data engineering, data science, and machine learning that lies at the core of our initiatives. Solidify Apache Spark's position as the world's most widely-used open-source unified engine for large-scale data analytics.
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Experiments will involve modern molecular biology techniques, next generation DNA/RNA sequencing, primary sample processing and data analysis. The Life Science Research Professional (LSRP) will oversee operations of ongoing genomic and translational research studies as well as plan and execute molecular biology experiments in collaboration with the PI and the research team.
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Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem.
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We also offer BS in Computer Science and Linguistics (jointly with the Dept. of Linguistics and Language Development, MS in Data Science (jointly with the Dept. of Math/Stat), MS in Bioinformatics, and support BS in Software Engineering (curriculum jointly administrated with the Dept. of Computer Engineering.
$96,000 - $135,000 a year depends on education, experience (competitive)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree in Environmental Science, Ecology, Natural Resource Management, or a related life sciences field. Prepare and complete environmental survey reports, data entry, impact assessment, and permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Perform experiments (e.g., 11.7T MRI, 3T MRI, neurobehavior tests, brain sectioning, SEM, ELISA, primary rodent cell cultures, ICC, IHC, confocal microscopy), maintain detailed records of experiments (related to animal surgeries, animal measurements, and behavior tests), analyze and interpret research data using GraphPad Prism, ImageJ, and MATLAB (60.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. Senior ML Research Engineer, Apple Services Engineering - Search Science. -Use big data technology to evaluate and prioritize content discovery features.
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BS/MS/PhD in Chemical Engineering, Materials Science, or related field. Demonstrated experience with data analysis, design of experiments and presenting data. Collect, analyze, and present data to key decision makers to help drive design and commercial decisions.
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Strong understanding of science and drug development, with specific expertise in nonclinical study design, preclinical CROs, data management systems, nonclinical study procedures, and statistical analysis methods.
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data science jobs Title: management trainee Company: Parexel in Sunnyvale, CA
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