Job Description

HP is seeking a proven web experimentation leader who is passionate about optimizing the business through the intersection of data and experimentation. As an Analytics Lead, you will partner cross-functionally and within a growing team to design, implement, and analyze adaptive test experiments intended to optimize performance across multiple platform and channels. We are seeking proven expertise including but not limited to, A/B testing, multivariate, multi-armed bandit optimization and reinforcement learning, principles of causal inference, and statistical techniques to new and emerging applications. Applies subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees. Lead the design and implementation of the conversion insights and experimentation platform Build and evolve tools that enable us to evaluate and interpret experimental data at scale including optimization across web and mobile surfaces Partner with product managers and data scientists to define the technical roadmap and vision of experimentation Advise leadership team on key technical considerations related to the future of our technology stack and product roadmap Debug production issues across multiple channels Based on appropriate analysis, provide value-added business performance analytics and optimization recommendations that enable continuous improvement across the organization to drive incremental productivity. Research and evaluate opportunity to apply common methods and frameworks across analytic projects to allow for reuse of modeling and more efficient solutions to marketing needs. Recommend go-to-market actions based on analytical findings to senior leaders. Work with business teams to develop comprehensive understanding of investment opportunities/trade-offs and translate that understanding into detailed requirements. Manage internal and external resources to ensure that campaigns are executed accurately, effectively and within budget. 3+ years experience in experimentation design, A/B testing, propensity score analysis, linear regression modelling and/or probabilistic modelling at scale BA or BS in Data Science or related field Masters preferred. 7+ years marketing and project management or operational experience. Experience in Marketing database such as MRM or CRM applications statistics background a plus. Advanced statistics background for analytical positions preferred (advanced degree with research and statistical focus background). Proven ability to make trade-offs in the face of uncertainty Advanced experience and quantifiable results with Optimizely, Test & Target, GA360 testing tools. Expert knowledge of marketing principles, practices, tactics and tools. In-depth knowledge of marketing activities and practices and procedures. In-depth knowledge of and/or experience in business and marketing strategies. Excellent written/oral communications and analytical skills. Excellent interpersonal and project management skills ability to build and manage virtual teams. Excellent negotiating and change management skills. Ability to interface effectively with management team and functional disciplines. Excellent influencing and consensus-building skills. Excellent execution skills.

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