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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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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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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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As SAP Master Data Management Technical Lead, you will be responsible for leading the planning, development and implementation of (MDM) and relevant software solutions that align to the Information Technology roadmap and business strategies.
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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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Also, the Big Data Infra team has an expanded charter to define and execute an AI Data readiness strategy to provide a seamless developer experience to egress data to build AI applications.
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We are seeking a dynamic and experienced Principal Engineer, Data Systems to lead across data domains and teams, driving strategic outcomes for our organization. Lead initiatives with other cross-functional Principal engineering staff that are supporters and consumers of your data systems.
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Collaborate with Investment, Operation and Data Management teams to develop scalable and impactful analytics to enhance messaging and storytelling of investment reports. Ensure the accuracy of underlying data in data warehouse (historical exposures, asset mix, performance, policy weights and more) used for investment decision making purposes.
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The Actuary acts as a project manager, thinking big picture while coaching and supervising the work of Associate Actuaries and Actuarial Analysts. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.
$98,000 - $231,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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This is an exciting opportunity with a fast-growing team at the cutting-edge intersection of big data services and autonomous hardware. Experience in data pipeline/platform software development in cloud environments (AWS, GCP, Azure, etc.
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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’re hiring a Staff Data Scientist to join the Commerce team, supporting our programmatic ads business. Staff Data Scientist - Programmatic Ads Lead. The Data Science team at Cash App is customer-obsessed, collaborates intensely with other key disciplines, and always makes decisions with an eye towards Cash App’s business as a whole.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata® development which enables insight generation.
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Introductory knowledge of IT & Security concepts: Malware Analysis, Web Firewall, Scripting/coding, SIEM, Vulnerability, SAML, Cloud IaaS (AWS, GCP or Azure), Phishing, Data loss Prevention, Network Security.
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big data jobs Title: staff software engineer in San Francisco, CA
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