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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Promotes and integrates best practices in data science and adheres to established work standards.
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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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The SEO, Site Navigation and Browse teams work among product, operations, development, data science and analytics as well as other cross-domain organizations to build scalable and highly-available business solutions that are used by millions of eBay users across the globe every day.
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ServiceMaster was founded with a deep commitment to integrity and customer service and does business under seven brands today across 50 states and nine countries that generate more than $3.5B in system-wide sales: ServiceMaster Restore, ServiceMaster Clean, Merry Maids, TWO MEN AND A TRUCK, Aftermath Services, Indoor Science.
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Experience with cloud platforms and modern data center solutions such as AWS, GCP, Dell, HPE, NetApp, Nutanix, Hitachi, IBM, Etc. Demonstrates technical leadership and subject matter expertise on Cloud architectures and offerings in the modern data center.
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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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Minimum 10 years of relevant experience as a product management, data science, or visualization leader for products and/or platforms, from strategy to market, to ongoing improvements. Deliver Product Performance Reporting: Develop and provide product performance reporting to executives and key governing committees, inclusive of benchmark data in partnership with SVP of Deposits and business partners.
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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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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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As requested by the Proposal/Program Manager or Capture Manager, this individual will support the information presented in the cost proposal and cost related data supplied as part of proposal submittals.
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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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Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning. Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline clinical operations using diverse data sources like medical images, electronic health records, patient waveforms, and clinical documentation.
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In depth experience leading an Account Management, Solutions or Customer Success organization, working with global Ad Tech Platforms, Publishers and / or Data Companies. Exceptional working knowledge around ad tech, SSPs, DSPs, data companies and the programmatic landscape.
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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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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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data science jobs Title: project manager Company: Apple in Myrtle Point, OR
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