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Data analytics Presale Lead

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Job Description - Data analytics Presale Lead


In the pre-sales process, represent the brand product to various personas across the customer organizations spanning from data scientists to C-level executives. Lead product demonstrations, aligning brand to the vision of the customers’ goals, lead the Proof Of Value process, and quantify the business impact of the brand. Influence our customers through thought leadership by translating complex technical terms / processes into business outcomes / value-based messaging Act as a trusted advisor on Data Science across the customer lifecycle; build champions by enabling customers to solve complex data science problems using the application – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Work in tight partnership with the engineering teams to ultimately support our customers in achieving their goals Act internally as the voice of the customer to the Product, Engineering, and Marketing Present at conferences and/or help create other marketing content Requirements 4+ years of experience either in a PreSales role (and with a motivation to learn Data Science) or in Data Science/predictive modeling. Strong candidates with 2+ years as a PreSales Data Scientist will also be considered. 2+ years of experience in customer facing role in US markets preferable Bachelor’s degree, preferably in a quantitative subject Hands-on experience building and implementing machine learning or AI models Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes Strong customer interaction, communication, writing and interpersonal skills Excellent project management and organizational abilities Familiarity with a variety of technical tools for the manipulation of data Regional travel may be required Desired: Advanced degree Familiarity with consultative sales process in the data / analytics marketplace Familiarity with data platform technology integrations Experience dealing with complex customer organizations Fluency with scripting in Python or R (preferably both)

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