Data Scientist
Location: Tijuana, BC, Mexico

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.

Data Scientist

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 Customer’s 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
• Automatically assist Customer Support Associates to quickly resolve customer issues

Major Responsibilities:

As a member of our team, you will work in collaboration with other members to research, design, prototype, test and document novel algorithms and predictive analytics for automated, near real time decision making on data and problems. On a daily basis, you will work with datasets performing tasks such as data integration, data cleansing, exploratory analysis, predictive modeling (including rules engines), rapid prototyping, and analytics operations once the model is release into production. You will present findings to teammates and guide the transition of new algorithms into operational code.  You will also serve as a point person for collaborations with various stakeholders including subject matter experts, business owners, business analysts, software engineers, data engineers, and upper management.

Qualifications:

• Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, Data Science, etc)
• 3+ years of related experience gained through a combination of academic studies and work experience
• Prior work and/or research demonstrates experience in the following areas
  • Exploratory Data Analysis: Querying data, providing statistics
  • Data mining: discovery of patterns & signals in data or anomaly detection
  • Model Development: Decision trees, probabilistic reasoning, neural networks, clustering, case based reasoning, rules engines
  • Collaboration: Working in team environments with multiple disciplines and work styles
  • Natural language processing and text analysis
  • Quantitative reasoning: Drawing conclusions from data and generating actionable information
  • Software engineering: Ability to work with team members to implement algorithms
  • Operations: Monitoring and maintaining models in production
• Extensive knowledge of Python (must include SciPy, NumPy, Pandas, Jupyter Notebooks)
• Experience working with SQL databases
• Excellent quantitative reasoning and creative problem solving skills
• Excellent verbal and written communication skills
• Ability to collaborate with and lead an interdisciplinary team members to solve problems
• Self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems

Preferences:

• Experience in customer service domain
• Experience with machine telemetry