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As the Credit Portfolio, Senior Product Marketing Manager, you will improve outcomes for sellers and the credit portfolio by working across all credit products and teams including Product, Engineering, Data Science, Design, Creative, Capital Markets, Risk, Legal, Compliance, and Credit Policy.
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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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Passion for big data, analytics (MMM, MTA, Experimentation), data science, and machine learning: comprehension of marketing analytics, specifically Marketing Mix Modeling, Multi-Touch Attribution (MTA), media strategy, media planning, identity resolution, data management, onboarding, remarketing, and data science is an advantage.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$93,400 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Ideally hiring in one of our Hub locations listed below but open to other locations:Los Angeles/Orange County, San Diego, San Francisco Bay AreaDenverNew YorkChicagoNew YorkPortlandAustin, Dallas, HoustonSeattleAbout the RoleMixpanel’s global demand generation team is responsible for our global campaigns strategy, pipeline generation across marketing channels, and collaborating with key partners in product marketing, field marketing, brand design, revenue operations, and partnerships.
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Strong Technical Background: Proficiency in programming languages commonly used in data engineering, such as Python, Java, Scala, or SQL. Experience with data processing frameworks and tools like Apache Spark (including Databricks), and Hadoop and knowledge of database technologies like SQL databases (e.g., MySQL, PostgreSQL.
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Collaborate with Product Management, Brand Strategy, Product Marketing, and Growth Marketing teams to ensure insights inform strategic decisions. Bachelor's or graduate degree in Market Research, Marketing, Business, Statistics, Data Science, or a related field with a minimum of 8 years of industry experience.
$247,000 - $298,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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As a Data Scientist, you will use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development and ensure a cohesive customer experience.
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The Risk Data Science team is looking for a Senior Staff Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various credit risk areas at SoFi. The Senior Staff Data Scientist will work closely with Credit Risk, Product, Engineering teams to design solutions for loss mitigation and loss forecasting.
$172,800 - $297,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Work cross-functionally with marketing, product, customer success, engineering & data science to develop key metrics & tracking across every part of the organization to support investment, hiring, scale and profitability goals.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Work with many different teams, from engineering, product and design, to analysts, recruiting, marketing and beyond. Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), Joe Lonsdale (Palantir Founder), and Garrett Camp (Uber co-Founder.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with solutions architecture, other engineering teams within data org and line of business (LOB) product and engineering teams to integrate the data assets with their products/systems, ensuring reliable execution.
$181,000 - $241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The group is also chartered with continuing to develop state of the art analytical insights, tools, and assessments of new data and interpretation of existing data with emergent technologies in geosciences, geotechnical engineering, and seismic engineering.
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Collaborate cross-functionally with the product and technical teams, bridging the gap between competing priorities and drivers (Including our product, design, data, cloud ops, SRE, and AI/ML teams.
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data engineering product marketing jobs Company: Beautiful in San Francisco, CA
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