Join to apply for the Data Scientist / Senior Data Scientist role at C3 AI

Join to apply for the Data Scientist / Senior Data Scientist role at C3 AI

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C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI

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.

Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs.

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.
  
  

• 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.
• Ability to travel as needed
  
  

• Experience with JavaScript and Java.
• Experience with time series and dynamical systems.
• A portfolio of projects (GitHub, papers, etc.).
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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