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2+ years experience managing a team of data scientists and working with Marketing functions and associated data science projects, including but not limited to Lead Scoring (ML models), Multi-touch Attribution (MTA), Media Mix Modelling (MMM), Spend Optimization, Life-Time Value Modelling (LTV), and Return on Ad Spend (RoAS.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As the go-to expert on acquisition growth strategies within the Digital Media Global GTM team, the Senior GTM Strategy Manager, Photoshop will drive nurture and conversion optimization for Adobe's highest priority creative tool - Photoshop.
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Qualifications: 7+ years’ experience with strong SAP S4/HANA, HANA Modeling, SQL Skills, and big data with enterprise data warehousing experience Strong SAP HANA data modeling and performance optimization skills Ability to design, develop, and migrate data analytics solutions by sourcing data from SAP ECC, S/4 HANA, and SAP Data archival systems.
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Establish quarterly KPI targets, assess investment efficiency, and advise on optimization across social channels. The ideal candidate will be instrumental in building automated tools for insights, setting KPI targets to evaluate investment efficiency, and designing impactful A/B testing.
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The primary role of a Data Scientist for our Data team is to conduct deep analysis of user/merchant behavior, product features ,content ecosystem and platform strategies to generate business insights that could be applied to actionable improving initiatives.
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Customers can radically simplify data protection, streamline data governance, and gain data visibility and insights as they accelerate cloud adoption. Write for search engine optimization (SEO) and incorporate keywords where needed.
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Lead across multiple work streams (discovery, design, deployment, optimization) and teams to maintain project momentum. The Connected World, the core platform of Connectbase, allows our ecosystem partners to use location-based insights and automation to buy and sell connectivity more effectively than ever.
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We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
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Education: Proven analytical skills, and excellent skills in Excel / PowerPoint as well as Adobe Target, Audience Manager, and 2+ years relevant A|B testing and optimization experience BS/BA with 8+ years' experience in one or more of the following: analytics, ecommerce, software, high tech.
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The OpportunityAs the go-to expert on acquisition growth strategies within the Digital Media Global GTM team, the Senior GTM Strategy Manager, Photoshop will drive nurture and conversion optimization for Adobe's highest priority creative tool - Photoshop.
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This insight is instrumental to design experiments, derive insights from lab and field data, and convey the battery life impact to engineering teams with potential solutions for optimization.
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In addition, you will: Proactively identify opportunities for segmentation and site analysis Manage measurement design, set up, and evaluation of A/B and multivariate testing Analyze web traffic and site behavior using Adobe analytics to derive customer and business insights to support business decisions and deliver on improved website experience Maintain and support web data integrity.
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Establish repeatable best practices that can scale across product marketing, enabling all product marketers to work in a fast-paced environment, using qualitative and quantitative market and customer insights to grow the impact of product marketing launches.
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Discovery uses Machine Learning, Deep Learning, Reinforcement Learning, Causal Inference, and Econometrics/Economics to derive actionable insights about the complex economy of Amazon’s retail business.
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optimization insights jobs in San Jose, CA
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