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Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
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Located in the heart of Oakland on the shores of LakeMerritt, the Center is dedicated to providing equitable access to our programs for all youth andtheir families throughout Oakland and the greater East Bay Area. We harness the power ofcreativity and experiential learning to inspire big ideas and illuminate the everyday connectionsbetween art and science.
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Interests: Strong interest in social science research. With this approach, our small but fast-growing team is having a big impact, taking on challenges like using analytics to combat fraud, waste, and abuse in Medicare.
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Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.
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Create data-driven stories that address strategic business questions, supported by strong analytical skills with a solid foundation in programming (e.g. R, python), database environment (e.g. big-data platforms, SQL), and dashboard development (e.g. PowerBI.
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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An advanced degree (Ph. D. preferred) in molecular or cell biology, immunology, genetics, cell physiology/biophysics, biochemistry or a comparable life science field is required. A strong candidate can demonstrate the ability to apply scientific expertise together with commercial and legal considerations to understand the clients’ big picture in the commercialization sense; is comfortable with oral presentation and explanation of work product; is comfortable and effective at working independently; and is comfortable with remotely supporting supervising attorneys in multiple offices.
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We do this by providing businesses with access to world class, on-demand data science talent that helps them solve real business problems. Obviously AI is backed by some of the top venture capital firms in the US, and you’ll be on the ground floor of a fast-growing company with a big mission.
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Collaborate with cross-functional partners, including design, engineering, user research, data science, sales, education, and community teams to identify and define features that improve the product experience.
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ElasticSearch or Big Query. Master’s degree (or foreign equivalent) in Computer Science, Engineering (any field) or closely related quantitative discipline and two (2) years of experience in the job offered, or in any occupation in a related field.
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Prior experience in big data, enterprise data, data processing, and distributed systems is a plus. Background in software development, engineering, or data science/analytics a plus. The Trade Desk Product Team hires courageous, passionate PMs who set big goals and execute on them.
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big science jobs in Alameda, CA
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