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 crossfunctional 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.

About Business UnitIBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

Your Life @ IBMIn a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

About IBMIBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBMIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.