Data Scientist Internship

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities

We are currently looking for talented data scientists/software engineer to join our data department at IBM Watson Orders. This department focuses on:

1. Building evaluation tools and evaluation sets for measuring the performance of machine learning (ML) models and the entire ML pipelines when developers make any changes

2. Identify patterns in issues that system has at store levels and provide insights on how to fix them by either adding new features or fixing bugs and their potential impacts

3. Building automatic error labeling system to identify major issues of our voice agent system in production

4. Developing pipelines reports dashboards and frameworks that monitor and analyze performance of our AI Drive Thru Voice Agents

5. Designing and analyzing A/B experiments to improve Voice Agent behavior

6. Providing insights of the product performance in real time across diverse regions and stores

7. Aggregating curating and distilling data from various hubs to provide actionable insights to cross

   functional engineering business operations teams both internal and client side

8. Contributing data artifacts to improve the AI/ML product development lifecycle

The ideal candidate will have some experience designing and delivering analytics for ML products and enjoys working in an agile fast-growing environment.

Responsibilities:

• Define and develop data schema ETL metrics and reports for production performance analytics
• Collaborate with stakeholders and partners within IBM Watson Order departments to identify iterate and evolve rigor and maturity of data sources quality and signals to distill and present consolidated view of product performance across platform and products.
• Employ advanced statistical modeling to analyze large data sets create dashboards and derive insights to guide key business product and engineering decisions
• Collaborate with engineering teams to ensure that data infrastructure and systems are performant scalable reliable and secure
• Enable big data and batch/real-time analytical solutions that leverage state-of-the-art data and ML technologies

Required Technical and Professional Expertise

• Bachelor’s Degree Computer Science Mathematics Statistics or a related quantitative discipline 1+ years of experience in data science or analytics
• 1+ years of Python and SQL experience working with big data
• Good understanding of high-performance algorithms and statistics

Preferred Technical and Professional Expertise

• Some knowledge of data modeling queries and understanding of different data structures
• Good analytical skills with an engineering algorithmic mind to design tools pipelines and systems to handle large-scale real-time ML analysis whether in batch or streaming.