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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred.
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Advanced degrees, certifications and significant experience in data architecture, data management, Data Science, Azure Cloud Big Data technologies, Azure Data Lake Storage, Kafka, Air Flow, Stream Analytics, Databricks, Spark, Databricks SQL Analytics, Notebooks, MLflow, Snowflake, Snowflake SQL, Snowpark, Cosmos DB, Alation, Python, R, Java, Scala, Azure functions, Advanced Analytics and AI Client libraries, KsqlDB, FHIR/Rest API, GraphQL API, Power BI etc.
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2+ years of experience as a business analyst, data scientist, or related field. We are responsible for driving organic traffic that represents billions of dollars worth of goods and services bought on eBay. We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics technologies, especially Apache Spark, Flink, AirFlow, and related software in a large scale environment.
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Snowflake + Databricks + Azure Data Factory with Python+ Java. Good hands-on experience on Snowflake Data Warehouse. Design, develop & maintain data platform services for varied use cases such as Data Extraction, Data Processing, Data Ingestion, Data Observability and Data Discovery.
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Discovery, universal search, movies, tv shows, streaming, Online marketing, movie marketing, sports, games, media buying, creative services, entertainment data, and VOD availability data.
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Zensar Technologies is seeking a Data Engineer (Matillion specialist with Tableau) remote in the US. We are accepting contractor or fulltime employees for this role. With proven excellence across five core areas, including experience services, advanced engineering services, data engineering and analytics, foundation services, and application services, our solutions leverage industry-leading platforms to help our clients be competitive, agile, and disruptive while moving with velocity through change and opportunity.
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Custom financial software development, Multi-asset trading platforms, Equities/Options/OTC/Forex/Crypto trading platforms, Matching engines, Order management systems, Pre- and post- trade risk management, Pricing engine, Trading & data analytics, Market data visualization, Compliance, Wealth management platforms, Web, mobile, desktop trading platforms, Augmented reality trading desk, and Real-time, historical market data API.
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Working experience using quantitative software and database querying tools (e.g., SAS, SQL, Python). Execute Data Discovery and Aggregation: Explore and aggregate data across multiple large databases to uncover actionable insights.
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Responsible to proactively monitor the external landscape and emerging data and recommending adjustments to the approved product strategy, or lifecycle management additions to the strategy as appropriate to ensure the maximal value of the product development plan to Karyopharm and to patients from both a development and commercialization perspective.
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5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue. Demonstrated work experience with handling streaming/timeseries data using AWS Kinesis/AWS managed Kafka.
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Quite simply, Crunch provides the quickest and easiest way for anyone, from CMO to PhD, with zero training, to analyze survey data. We offer a complete survey data analysis platform that allows market researchers, analysts, and marketers to collaborate in a secure, cloud-based environment, using a simple, intuitive drag-and-drop interface to prepare, analyze, visualize and deliver survey data and analysis.
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Machine Learning, Product Design, Internationalization, Data Science, Personalization, Mobile, and Growth Marketing. Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
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Expert level skill in Dashboard UI design and data modeling using Tableau. Expert-level skills with Tableau Desktop (dashboard creation, report authoring, troubleshooting, data source management.
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BSc in science, engineering, or any quantitative field. Perform data analysis and storytelling using data. Built on Aidoc’s exclusive aiOS, we analyze and aggregate medical data to enable care teams to operationalize the unexpected and work seamlessly with a continued focus on the patient.
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data scientist quantitative jobs in Myrtle Point, OR
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