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Partner with product, data science, sales, partnership, marketing and other functions to set goals and strategic direction for execution, and support partner teams as they work through production, execution, measurement and optimization.
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At least 5+ years of working experience in a senior data science role, and have a strong understand in e-commerce; product analysis is preferred. U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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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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Working knowledge of business intelligence, data science, and analytics infrastructure and operations. Databricks & Spark, AWS Data technologies, Airflow, Delta Lake, DBT, etc. Design, implement and operate the enterprise data model and enterprise data warehouse for Riot Games, globally.
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Arcadia is Snap's world-class AR creative studio that is focused on delivering the next generation of branded Augmented Reality experiences. Inspire and lead others to create impactful and innovative Augmented Reality experiences that shape consumers' behavior.
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Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
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The Company’s three core products are Snapchat ( , a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio ( , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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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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Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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We encourage applicants with a Ph. D. or equivalent to apply, who have strong quantitative and/or qualitative skills in any relevant discipline, including public policy, economics, demography, public health, political science, epidemiology, sociology, psychology, ethnic and/or cultural studies, gender and women's studies, LGBTQIA+ studies, criminal justice, education, statistics and/or data science.
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Experience with Data Science, Azure Databricks, C# and Python based deliverables. Bachelor's degree in computer science, or Master's Degree in Business Administration, Information Services, EngineeringOr equivalent educ/experience.
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The engineering team at Warner Music Group makes all of it a reality. Whether it’s signing up new artists; ensuring we provide the right data to Spotify, YouTube, and other digital service providers; or helping artists use the latest AI tools and make thoughtful decisions with data-driven insights – technology plays an invaluable role in our success.
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Example: University of Southern California - Los Angeles, CA - Master of Science - Molecular Genetics and Biochemistry - June 2020. Possession of a Master's degree from an accredited college or university majoring in health science, public health, natural science, physical science, environmental science or a related field may be substituted for one year of the required professional work experience noted in Requirement No. 2.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command’s program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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data science augmented reality jobs Title: data in Los Angeles, Phenix-city, Alabama
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