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The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a seasoned Data Engineering Manager who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light.
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10+ years of experience in data engineering, data science, and software engineering. Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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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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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Work with the data science and data engineering teams to enhance our usage of Iterable, creating personalized messaging for each customer to drive repeat purchases and LTV. Own collection of zero and 3rd party demographic data and partner with data engineering to integrate into our CDP.
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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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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster. Reporting to the Engineering Manager - Data Products, this work is foundational to company and product strategy.
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Trinity is seeking a Data Science Manager to join and work with the team of data scientists managing multiple projects. Lead initiatives in Data Engineering (DE) and Machine Learning Operations (ML Ops), encompassing pipeline management, executions, and monitoring data and model drift.
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As the supply team's Engineering Manager , you will support our integrations with international credit bureaus, bank data providers, payroll systems, OCR systems, fraud systems, and other entities that power our platform (you can read more here.
$216,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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An undergraduate degree in computer science, engineering, data science, finance, economics or related disciplines is a plus, MBA preferred. ● Implement and maintain the roadmap by working cross-functionally with members of the product team, engineering team, data science & analytics team, business team, finance team, legal team, operations team, marketing team, and more.
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On a daily basis, you’ll partner with product management, design, engineering, product analytics, lifecycle marketing, and user research team members to develop strategies to ensure that every teacher knows how to leverage Quizlet’s unique advantages to drive student engagement and academic success.
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Bachelor’s degree in Computer Science, Information Systems, Business, Accounting, Finance, Data Science, Engineering, or a related field and 5 years of progressive, post-baccalaureate work experience in one or a combination of the following: IT Audit and/or Financial Services.
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Identify data quality issues and work with Data Science, Data Engineering, and Software Engineering teams to resolve challenges. In conjunction with Trading Analytics Manager, the Data Engineer will develop impactful and accurate reports, dashboards, and other data visualizations.
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As a Senior Data Science Manager on this team, you will work directly with an array of stakeholders, including executive leadership, Autonomous Vehicle (AV) engineers, product managers, and operations teams.
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Reporting into the Analytics Manager of Cash App Compliance, you will be fully remote and partner with Product, Finance, Data Science, and Engineering. Harness raw data to help partners understand the impact of new regulation, policies, or environmental changes to our compliance program and the Cash App platform.
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data engineering manager science jobs in San Francisco, Boynton-beach, Florida
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