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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Role: Architect Big Data/Hadoop Location: Remote within PST Duration: 6-12 Months Contract Exp: 12 years Note: This position is open for W2 The Big Data Engineer shall lead the Big Data Engineering team.
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This role involves managing internal laboratory functions, ranging from method development and validation, compound discovery, identification/quantification, product development (e.g., formulation) to data management.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The College connects the Data Science Undergraduate Studies program, Department of Electrical Engineering & Computer Sciences, Department of Statistics, the Berkeley Institute for Data Science, Computational Precision Heath, and the Center for Computational Biology.
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In-depth understanding of antibody structure-function relationships, protein engineering strategies, and therapeutic antibody discovery and development. Minimum of 5 years of experience in antibody engineering or a related area, with a strong understanding of antibody and early drug discovery and development, along with a proven track record of successful project leadership and innovation.
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Perform data compilation, quality screening, digitization, and data management in the development of groundwater flow and transport models. Experience in collecting and interpreting geophysical data and development of hydrogeologic conceptual models.
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Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area. Minimum 1 – 2 years of cradle to grave Project Management.
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Health, dental, and vision coverage, PTO, competitive equity & compensation packages, free lunch, coffee, and snacks onsite, flexible work from home (for some roles), free tax advisory services, access to Mountain Hardware, Columbia, Sorel, & Prana employee stores and discounts, company swag, investment in professional development courses, and parental leave program.
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5+ years of data engineering experience in product/support analytics and business operations. Familiarity with scripting/programming for data mining, modeling, and ETL development (Python preferred.
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The Development Associate is responsible for providing campaign and project coordination to support GRIP’s development activities, maintaining the integrity and accuracy of donor information, managing gift processing, and leading the day-to-day management of the CRM for the development team.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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The organization of UCSF Real Estate is focused on the development, planning, delivery, and management ofphysical space for UCSF. Key responsibilities include a unified approach to oversee the active UCSF growth planned on a multi-site campus and to manage the complex metropolitan environments affecting capital assets andprojects and efforts to align municipal challenges with maximum effectiveness in support of the UCSF mission.
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The candidate should have over 12 years of experience in pharmaceutical/biotech drug development, including more than 4 years in global CMC regulatory affairs, with expertise in PDM development for NCEs/small molecules.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Oversee the development of operational dashboards in Looker and Tableau to understand performance over time, enable efficient exploratory analysis, and equip partners with self-serve tools.
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data engineering product management development jobs Title: data privacy in Emeryville, CA
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