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7+ years of experience in research strategy, business intelligence, or data science roles. Guide the development and implementation of data science solutions, including machine learning algorithms to unlock insights and drive innovation and forecasting in content development and support teams such as finance and corporate development.
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Sony's principal U.S. businesses include Sony Electronics Inc., Sony Interactive Entertainment LLC, Sony Music Entertainment, Sony Music Publishing and Sony Pictures Entertainment Inc. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth.
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Working knowledge of business intelligence, data science, and analytics infrastructure and operations. 10+ years experience technically leading and/or implementing end-to-end data management activities, from foundational activities like data governance, data quality, and metadata management, to value-deliverables like data warehousing & BI, data science and analytics, and data driven applications.
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You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem that impact user communications, content operations, content programming, music, and user support.
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3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
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Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Current enrollment in Undergraduate or Graduate Program in Analytics, Data Science or Computer Science.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Hands-on experience with SSAS and SSIS is desired. Hands-on experience with HFM integration. Create and build OneStream applications, cubes, dimensions, and calculation scripts using VB.NET or C# and SQL.Understand cumulative translation adjustment (CTA) calculations and their impact on financial statements.
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The ideal candidate will have strong background with entertainment KPIs, market intelligence, research strategy, data management, and business intelligence, with a proven track record of building impactful dashboards and developing analytic solutions and predictive models.
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
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Proficient experience with SQL and data visualization or business intelligence tools (Looker) 2+ years of hands-on experience working in an analytics role within an organization (ideally a high-growth DTC startup.
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Advanced experience with SQL and data visualization or business intelligence tools (Looker) 4+ years of hands-on experience working in an analytics role within an organization (ideally a high-growth DTC startup.
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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Extensive hands-on experience in executing assays and analyzing data using multi-color flow cytometry (+10 colors). In-depth knowledge in immunology and cell therapy with hands-on experience working with T cells is preferred.
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intelligence hands on data science jobs Company: Dice in Culver City, CA
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