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Bachelor’s degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field. Fandango seeks an experienced, talented, and passionate Data Analyst to join our growing Analytics team.
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As a data scientist, you will have ample opportunities to apply your data science skillset to unlock vast business opportunities by extracting key insights using a wide range of data sources, advanced statistical models, machine learning algorithms, and modern AI techniques, and translating solutions into meaningful, goal-oriented business actions.
$152,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We’re looking for a Data Scientist with expertise in fraud and risk to detect and prevent these threats to our community. Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT.
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Manage data ETL to analyze the state of our clients' businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
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As a Data Scientist with a focus on Large Language Modeling (LLM) and Computer Vision (CV), this person will be responsible for developing and implementing state-of-the-art language and CV models that can understand and generate natural language.
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Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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8+ years of hands-on privacy and/or data security experience at a top law firm and/or as in-house counsel. Provide support in connection with policy, government relations, legislation, and litigation related to privacy and data security.
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Firm understanding of data modeling, master data management, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques. 5+ years of experience with data & analytics, cloud computing, cloud data and data-management solutions (e.g., Amazon Web Services, Microsoft Azure, Informatica) and system engineering.
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Develop knowledge of emerging modern data platforms, Databricks, Snowflake, cloud (AWS, Azure, and/or GCP), data strategy (monetization, governance, etc.) , and data visualization (Tableau, PowerBI, Looker, etc.
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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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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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U.S. Data Security (“USDS”) is a subsidary 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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Implement authentication and authorization mechanisms to ensure the security of our applications and data. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
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GOBankingRates is embarking on an ambitious growth journey and is looking for a seasoned Principal Data Engineer skilled in Cloud Platforms, Data Architecture, and Data Engineering.
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That’s why every Linktree employee gets $7,000 AUD / $4,900 USD to spend on their wellness, growth, lifestyle, and on social impact.
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Title: data scientist Company: Patterned Learning Career in Los Angeles, Phenix-city, Alabama
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