Senior Solutions Architect

July 24

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Plato

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Plato connects engineering managers with mentorship from experienced engineering leaders.

Management • Engineering • Hiring • Onboarding • Conflict Solving

11 - 50

Description

• Understand customers’ existing digital operations data, & how they would integrate into Plato’s data fusion platform • Tailor Plato applications to meet specific customer’s needs • Perform exploratory data analysis and data science, generate and discover actionable insights from Plato’s unique spatio-temporal data, conduct hypothesis testing, and utilize statistical methods to assess their validity. • Understand the context of the KPIs & customers’ business needs in order to help create products or experiences that address customer pain points. • Become an internal expert and consultant for each customer insight module • Rapidly generate and iterate through hypotheses to build relevant, story-driven insights • Tell compelling stories that use the data – and data visualization - to compel the audience with the power of the insight • Work in a data-driven environment, drive process improvement, and work with the stakeholders to translate high-level business goals to working software solutions and customer-facing outputs. • “Own” your work – take initiative, be proactive, ask questions to bring clarity, share ideas and challenge the norm, anticipate and complete projects in a comprehensive manner • Provide training to customers on how to leverage Plato’s technology to solve business problems and provide ongoing technical support post-deployment • Own customer deployments from start to finish

Requirements

• BS, MS, or PhD in an engineering/quantitative field, such as computer science, electrical engineering, mechanical engineering, pure or applied sciences (math, physics, …) • 3+ years combined as a solution engineer, application engineer, data scientist, senior data analyst or a similar technical role at a fast-growing technology company • Proficiency in Python (numpy, scipy, pandas, matplotlib and plotly) and OOP programming • End-to-end experience with data, including databases, querying, aggregation, analysis, and visualization • Familiarity with networking, & Linux environment • Able to work from our San Francisco office at least three days/week • A proactive problem solver who can collaborate with internal and external partners and communicate effectively with diverse audiences including engineering teams, customers, and contractors • Strong analytical skills, with the ability to analyze data to identify issues and measure success • Comfortable working independently in a fast paced and ambiguous startup environment • Willingness to travel ~3 days per month • Valid passport or ability to obtain one