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- Tasks: Join our Data Science team to build AI-powered applications for major companies.
- Company: C3.ai is a leading Enterprise AI software provider transforming industries with innovative solutions.
- Benefits: Enjoy competitive compensation, excellent benefits, and a collaborative work environment.
- Why this job: Make an impact by driving AI innovation and collaborating with top experts in the field.
- Qualifications: MS or PhD in relevant fields; experience in machine learning and programming languages like Python.
- Other info: C3 AI values diversity and is an Equal Opportunity Employer.
The predicted salary is between 43200 - 72000 £ per year.
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. 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.
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.
Qualifications:
- 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 Qualifications:
- Experience with JavaScript and Java.
- Experience with time series and dynamical systems.
- A portfolio of projects (GitHub, papers, etc.).
C3 AI provides excellent benefits and a competitive compensation package.
C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.#J-18808-Ljbffr
Data Scientist / Senior Data Scientist employer: C3 AI
Contact Detail:
C3 AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist / Senior Data Scientist
✨Tip Number 1
Familiarize yourself with the C3 AI Platform and its applications. Understanding how their platform works and the specific AI solutions they offer will give you an edge during discussions with the team.
✨Tip Number 2
Showcase your experience with machine learning algorithms by preparing examples of past projects. Be ready to discuss how you've applied these techniques in real-world scenarios, especially in industrial applications like fraud detection.
✨Tip Number 3
Highlight your collaborative skills. Since the role involves working closely with data scientists and subject matter experts, be prepared to share experiences where you successfully collaborated on complex projects.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning. Being knowledgeable about recent advancements can help you engage in meaningful conversations and demonstrate your passion for the field.
We think you need these skills to ace Data Scientist / Senior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Data Scientist / Senior Data Scientist position at C3.ai. Tailor your application to highlight relevant experiences and skills that align with their needs.
Highlight Technical Skills: Emphasize your experience with machine learning techniques, programming languages like Python and R, and any relevant projects. If you have a portfolio on GitHub or published papers, make sure to include links to showcase your work.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are interested in working at C3.ai and how your background makes you a great fit for the team. Mention specific projects or experiences that demonstrate your ability to drive adoption of Deep Learning systems.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the field of data science.
How to prepare for a job interview at C3 AI
✨Showcase Your Machine Learning Expertise
Be prepared to discuss your experience with various machine learning techniques, including regression, classification, and both supervised and unsupervised learning. Highlight specific projects where you've successfully implemented these algorithms.
✨Demonstrate Your Problem-Solving Skills
C3.ai values candidates who can tackle complex problems. Prepare examples of how you've approached challenges in previous roles, particularly in designing and deploying machine learning algorithms for real-world applications.
✨Communicate Clearly and Effectively
Since collaboration with data scientists and subject matter experts is key, practice articulating your thoughts clearly. Be ready to explain technical concepts in a way that non-experts can understand, showcasing your excellent verbal and written communication skills.
✨Prepare for Technical Questions
Expect questions related to your mathematical background, especially in linear algebra, calculus, and statistics. Brush up on these topics and be ready to solve problems or explain concepts during the interview.
