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We work closely with other Treasury-Finance teams (Liquidity Management and Capital Markets), Stripe's Information team (Data Science and Data Engineering), Stripe's Money Movement & Storage (MMS) product and engineering teams to build great capital and financial risk infrastructure.
$223,600 - $335,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$100,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Candidates should have experience building and deploying capital planning, capital management and capital attribution frameworks and working closely with key stakeholders such as business and product owners, risk, data science and sales teams to accurately estimate financial capital needs and steer the business towards capital efficiency.
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Bachelor’s or Graduate degree, Field of Studies required: In a quantitative field or commesurat experience such at Statistics, Business Analytics, Data Science, Applied Math, Econometrics or Operations Research.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The candidate is expected to collaborate with several departments across Simulmedia including sales, client success, finance, product, data science and engineering - to ensure that ad campaigns deliver the desired business outcomes for our clients, and that we continue to differentiate our streaming advertising offerings in the marketplace.
$90,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You will partner with cross-functional teams (engineering, data science, design, marketing, sales) to define product vision, develop product roadmaps, and bring cutting-edge measurement solutions to market.
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Work with Product, Data Science and Engineering to assess delivery scenarios across the Ad Product catalog to increase serving efficiency. In tandem, you will have the opportunity to learn and grow quickly in this space, working closely with a global, cross-functional team across FS&A, Data, Science & Engineering, Partnerships, Consumer, Marketing & Content to help build a cohesive understanding and unified approach to advertising at Netflix.
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Demonstrates a thorough level of knowledge utilizing the Prophet actuarial valuation software, including:Model development using the US360 library and the modules for Statutory and GAAP valuation;Customization to Prophet code and implementation of non-standard product features and projection methodologies; and,Experience with FIS Data Conversion System (DCS) and Prophet Enterprise (PE) and their use in large-scale automated reporting processes.
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Lead the product development life cycle for each new opportunity: gathering requirements and specifications, backtesting and associated data analysis, QA testing, documentation, and productionization.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You will have a deep understanding of credit risk management, data science and regulatory requirements within the financial services industry. Lead teams in a collaborative effort involving Engineering and data science experts in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications on a true big data platform.
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Master’s degree is a plus (Preferred majors include: Finance/Accounting/Economics/Econometrics/Data Analytics/Data Science/Business Intelligence/Computer Science/ Information Technology/Information System.
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Collaborate with cross-functional groups including product, UX, design, data, engineering, finance, legal, marketing, operations, infosec etc. Strong strategic, product thinker with customer centric mindset, business intelligence, financial modeling, data analytics, and problem-solving skills.
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You will partner and collaborate closely with user research, UX writing, product management, engineering, marketing, and data science. Strong ability to contribute ideas that influence product strategy on adjacent teams.
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Senior Data Management Professional - Data Engineering - Dialogue Labeling And Annotation Management
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Good interpersonal skills across various stakeholders (Engineering, Data Analysts, Product Managers, and Senior Management) As our tooling continues to evolve, we will trust that you will be able to take ownership of our client escalation workflows and provide data driven solutions to help reveal optimal product strategy to key stakeholders.
$110,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in a broad range of Solutions and salesAt least 6 years of experience in technology-related product management, product marketing, operations, sales/account management and/or consulting -Multinational experience desirableBachelors in Computer Science a must; MBA a plus- Candidates must be fluent in both written and verbal English.
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data science product management jobs in Richmond Hill, NY
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