Data Scientist/Senior Data Scientist at C3 AI

C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt, configurable, high-value AI applications for reliability, fraud detection, sensor network health, supply network optimization, energy management, anti-money laundering, and customer engagement. 

As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Suite. You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning / data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale.

Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.

We are seeking someone to work in our financial industry sector with the possibility of working in our Financial Services (FS) Center of Excellence with large banks for 12 months or more.

Your Responsibilities:

• Driving adoption of Deep Learning systems into next-generation of C3 AI products.

• Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance.

• Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.

Requirements:

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.

• Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). 

• Experience with prototyping languages such as Python and R.

• Strong mathematical background (linear algebra, calculus, probability and statistics).

• Experience with scalable ML (MapReduce, streaming).

• Ability to drive a project and work both independently and in a team.

• Smart, motivated, can-do attitude, and seeks to make a difference.

• Excellent verbal and written communication.

Preferred

• Experience with JavaScript and Java.

• Experience with time series and dynamical systems.

• A portfolio of projects (GitHub, papers, etc.).