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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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The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis.
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The development and application of methods to identify, collect, process, and analyze data using advanced statistical prediction, inference, and optimization and providing ongoing support to decision-makers to strengthen data-driven program design and management, at a level equivalent to the Los Angeles County class of Senior Data Scientist.
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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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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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We are looking to add a creative Data Scientist to our growing Analytics team. The Analytics team powers data-informed decision-making at Tinder. 1-2 years of professional working experience in Data Science and/or analytics preferred.
$115,000 - $135,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Staff Data Scientist II, you will be analyzing and interpreting complex data sets, driving strategic decisions, and improving game design for studios as well. of experience in data science (predictive modeling and analytics) Exp. w/Python & R Exp. w/SQL Exp. w/Data Visualization & A/B testing Preferred Experience Postgres, Databricks, GraphQL Benefits & Perks Performance bonus Stock Options Unlimited Paid-Time Off 401k Match 100% Coverage for Medical, Dental, and Vision Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
$190,000 - $230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Do discovery on and analyze data from various sources (e.g., CSV, relational database). The successful candidate will work with the data science and engineering teams on challenging projects in a variety of domains.
$144,532 - $163,737 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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Have experience in building graph-based ontology from scratch and working with structured and unstructured data. Experience supporting Client models development on big data infrastructure (on knowledge graph would be a bonus.
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U.S. Data Security (“USDS”) is a standalone entity 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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The Lead Data Scientist works closely with cyber SMEs and business stakeholders to produce a holistic cyber risk view across the enterprise. The Lead Cyber Data Scientist will lead data analytic and data science processes, manage the cyber metrics and telemetry program, and help analyze the data and share insights with peers.
$111,408 - $189,738 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Exhibiting experience working with financial data providers such as S&P Global, Refinitiv, Dealogic, or Audit Analytics; Displaying experience with SQL Server, as well as data transformation tools such as SSIS, Informatica, and DBT.
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data job Title: data scientist in Glendale, CA
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