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Proven leadership experience that emphasizes knowledge of IT Risk Management, Finding and Remediation Management, IT Audits, and Data Privacy/Security assessments. Bachelor's Degree in MIS/AIS, Cybersecurity, Computer Science; and at least one professional certification required such as CISA, CISSP, CGEIT, CPA, CIA, etc., or equivalent.
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Masters in urban and regional planning, public administration, business administration, political science, public affairs, finance, management, economics, statistics, engineering, geography, or other transportation-related field.
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Recent college graduate (0-5 yrs experience) with BS/MS or PhD in Electrical Engineering, Physics, Computer Science, Data Science, or equivalent. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded.
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Work on challenging data science projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and growacross product categories and geographically.
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SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in building industry-specific, artificial intelligence (AI) technologies. The practice brings together several key capabilities to develop and transform our clients' organizations through AI & Data Strategy.
$203,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering, Accounting & Technology, Mathematics, Mathematical Statistics, Statistics.
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MS/PhD in Materials Science, Chemical engineering, Mechanical Engineering, Chemistry or equivalent. MS/PhD in Materials Science, Chemical engineering, Mechanical Engineering, Chemistry or equivalent.
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Whether you choose to focus on bedside care, a leadership or C-suite role, shape business and operational outcomes, or work to deliver clinical excellence behind the scenes in data science, case management or transfer centers.
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This role is looking for a highly motivated and dedicated Data Science and Visualization specialist to support the Video QC & Compliance and Metadata Operations teams’ data analytics and science needs.
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From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.
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Collaborate with cross-functional teams including data science, software engineering, and product management to build predictive models, forecasting tools, and recommendation systems. Bachelor's or Master's degree in computer science, data science, statistics, or related fields.
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Knowledge of common data science techniques including data preparation, exploration, and visualization Experience in using statistical computer languages (Python) to manipulate data and draw insights from large data sets.
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Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. You will be an important voice in our data strategy, ensuring it aligns with the needs and best practices for use in AI. You will collaborate with our customers, prospects and partners to understand their perspectives, and be our expert voice to the market on the matter.
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data science jobs in Austin, TX
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