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Access, query, aggregate, manipulate, consolidate, and summarize omni-channel customer and visitor data from multiple large-scale data sources using data science tools (SQL,R, Python, SAS, Microsoft Power BI, Azure, Adobe, Databricks.
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We are seeking a Senior Manager/Staff Data Scientist on Advanced Measurement Methodology to shape the future of our organization through data driven insights with solid methodology foundation.
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Proficient data analysis skills and understanding of statistics; ability to convey data clearly and generate insights with data-mining software (e.g. Tableau, Spotfire, or custom data analysis tools.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Lead Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing (e.g., Databricks, Snowflake, Redshift, BigQuery, or similar) Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data from a variety of sources using Spark, SQL, AWS, and Databricks.
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Strong technology proficiency in one or more of the following areas is highly desired: Aladdin technology suite, data model & data feed interaction, API's, industry technology (e.g. CNS, Swift, OMGEO), data and reporting toolsets (e.g. ADS/SQL, Microsoft Excel VBA/Macros, Power BI), Python, etc.
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Knowledge of Database Analysis, processes, and tools, Database Systems, Data Modeling, Database Management & Reporting, Crystal Reports, Electronic Health Record systems (EHR), Electronic Medical Records (EMR), and Electronic Patient Reported Outcomes (ePRO.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
$114,600 - $202,700ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As one of the newest members at Corporate Risk & Insurance, you'll have the rare opportunity to improve our data capabilities, and seek data-driven insights to inform our insurance risk management decisions.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Develop ELT processes to transform raw data into actionable insights, leveraging tools and frameworks such as Airbyte, BigQuery, Dagster, DBT or similar technologies. Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Lead and coordinate evaluation, qualification and selection of vendor technology including data visualization tools (i.e. Spotfire), innovative CDM technologies, and advocate data quality.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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data job Title: senior data engineer Company: Feed in San Francisco, CA
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