Customer Facing Data Scientist at SupportLogic, Inc. in Santa Clara, CA

SupportLogic is the world’s premier Intelligent Support platform. Our Customer Facing Data Scientists are experienced applied data scientists, passionate about using machine learning to achieve real-world business results. As a Customer Facing Data Scientist at SupportLogic, you will collaborate closely with our customers, bringing expertise in data science and the SupportLogic platform, to help customers achieve their organization’s objectives. You’ll work with customers on diverse use cases, and with both business and technical (data science, engineering, analytics) stakeholders.

The work you’ll do:

• Collaborate with customers and act as their trusted advisor on solving complex data science problems using SupportLogic
• Lead demonstrations, advise on and evaluate the viability of customer use cases, help develop success criteria, support Proof of Value trials, and quantify the business impact of data science solutions
• Work side-by-side with the Sales, Engineering, and product teams to help our customers achieve their goals with SupportLogic.
• Manage multiple concurrent client projects / professional services engagements, including some directed at high-potential prospects during the sales process
• Act internally as the voice of the customer to the Product and Engineering teams

What you will bring to the role:

• 3-4+ years of real-world customer experience in a data science role
• Experience collaborating with business stakeholders to ensure that machine learning solutions deliver successfully on business outcomes
• Hands-on experience with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
• Fluency with scripting in Python, and experience with common data science libraries
• Familiarity with data platform technology integrations and tools for the manipulation of data
• B.S., degree in Computer Science, Mathematics, or similar quantitative field of study

Preferred Skills and Competencies:

• Experience with NLP (especially sentiment analysis, entity recognition, and use of the SpaCy library)
• Experience working on or with cloud platforms (AWS, GCP, Azure)