Data Scientist, Experimentation & Optimization

Description -

Applies advanced analytics subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of innovative 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.

Responsibilities:

• 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 modelling 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.

Education and Experience Required:

• 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).

Knowledge and Skills:

• 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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Job -
Software

Schedule -
Full time

Shift -
No shift premium (Mexico)

Travel -

Relocation -

EEO Tagline -

HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.