Sr Data Scientist Job - (milpitas, california) in San Jose, California For Sale
Req ID: xxxx7
For more than 25 years, SanDisk has been expanding the possibilities of data storage:giving businesses and consumers the peace of mind that comes from knowing their data is readily available and reliable, even in the most challenging environments. Our products are used in the worlds largest data centers, embedded in game:changing smartphones, tablets, and laptops, and entrusted by consumers around the world. As a vertically integrated storage solution company, we are able to quickly deliver innovative, high:quality solutions with less time from research to realization. From handheld devices to hyper:scale data centers, SanDisk storage solutions make the incredible possible.
Data Science Position
Responsibility
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Leading development of machine learning models/predictive analytics techniques leveraging both repeatable patterns in data and discovering new that reduce cost, increase performance, reliability and or endurance in semiconductor products.
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Working through the full flow of very challenging data problems anywhere from data cleaning, to building a concept of the model to extracting the right features and testing the model to drive better decision making through various data and statistical modeling techniques, algorithm development involving real:world noisy data.
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Ability to quickly understand challenging business problems, find patterns and insights within structured and unstructured data.
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Data analysis, predictions, discovery, distilling complex science down to digestible insight, unlocking repeatable patterns that can be actionable foresight.
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Ability to access, analyze and transform large product lifecycle and process data in the semiconductor/fab manufacturing industry.
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Ability to think critically about the relationships of different metrics measured and process steps to land the right features for a given model
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Challenge current best thinking, test theories, evaluate feature concepts and iterate rapidly
owning the deliverables and managing the priorities/timelines
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Prototype creative solutions quickly, and be able to lead others in crafting and implementing superior technical vision.
Skills and Experience
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Solid fundamentals, knowledge of machine learning algorithms, classification, clustering, regression, Bayesian modeling, probability theory, algorithm design and theory of computation, linear algebra, partial differential equations, Bayesian statistics, and information retrieval.
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Possesses strong combination of theoretical knowledge and hands:on experience in data mining, feature selection, dimensionality reduction, statistical techniques, regression analysis, machine learning algorithms and failure prediction
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Experience with advanced data mining, predictive modeling algorithms, developing data models, reinforced, supervised and unsupervised learning methods such as SVMs, linear classifiers, Markov models, Bayesian networks and clustering techniques strong plus
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Experience and expertise in machine learning tools and technologies, with using R for modeling, including developing R scripts and other scripting languages like Python, Perl.
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Experience/proficiency in at least one compiled/object oriented programming language e.g. Java/C++.
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Experience with big data technologies such as Hadoop, MapReduce, Mahout, Hive, Pig etc. and parallelization tools in enterprise Big Data Platform stack, technologies and ecosystem is a strong plus
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Experience in natural language processing techniques and text analytics is a strong plus
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Advanced degree, Masters or PH.D in Computer Science, Statistics, Applied Math, Engineering with an emphasis on Machine Learning.
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Highly motivated, team player with an entrepreneurial spirit and strong communication and collaboratio
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