Job Description

Our Company

Teradata, the world’s largest company solely focused on enterprise data warehousing and analytic solutions, provides powerful solutions for companies of all sizes. Through innovation, consulting services, technology, and industry-specific applications, our customers are outpacing their competition with enterprise agility. It's no secret our people make Teradata great. The world’s business leaders have trusted Teradata for decades as the key to their competitive edge with business intelligence. Why? Because we provide them the agility to adapt and move with confidence – just like we do. We are more than 10,000 passionate professionals in more than 42 countries and we are relentless in our pursuit of excellence.

Our Team

The Teradata Service Analytics team is dedicated to automating customer support and transforming customer support from reactive to proactive by leveraging data and analytics. Our vision is to optimize customers' Teradata solution performance and availability, through automated analytics-driven predictive/proactive issue resolution while enabling Customer self-service. Specifically, to develop an analytics software system for customer support, which will:

• Utilize data and analytics to predict Customer operational issues
• Proactively provide solutions to avoid impact to Customer operations
• Enable Customers to quickly and easily resolve their own problems
• Assist Customer Support Associates to quickly resolve customer issues

What You'll Do

You will work with data scientists on our team to develop tools to parse text data and extract information from it. The data in question may consist of computer generated logs or natural language work notes. The techniques used may include automated log parsing, natural language processing (NLP), named entity recognition, relation extraction, event extraction, part of speech tagging, sequence modeling, or text clustering. You will have some room to tailor your project to your interests, but the objective is to help automated systems understand and utilize text data, which will in turn make our customer support processes more automated and efficient. You will also collaborate with business analysts, software engineers, product owners, and support engineers to ensure your work provides concrete business value.

Your Background

• Pursuing a bachelor's degree or higher in data science or machine learning, or in a related field (like statistics or computer science) with coursework in these areas
• Experience (possibly from coursework) in working with large data sets, data manipulation, data cleaning, exploratory data analysis (EDA), data visualization, and data modeling
• Experience with text data, natural language data, or natural language processing (NLP) preferred
• Programming experience, preferably in Python and SQL
• Excellent verbal and written communication skills
• Ability to collaborate on an interdisciplinary team to solve problems in a fast-paced environment
• Self-starter with a positive attitude, intellectual curiosity, and a passion for analytics and solving real world problems.