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Associate Deployment Engineer - Galaxy Graduate Program

Celonis · New York, US · по договорённости

Компания
Celonis
Город
New York, US
Зарплата
по договорённости
Уровень
intern
Формат
full_time
Иностранная компания
нанимает русскоязычных

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet.

The Team

You will be joining the Celonis Services team. Our team’s mission is to drive product success along three core principles: simplicity, focus, and execution.

As a team, we enjoy working in a fast-paced environment and share a sense of belonging to a community that wants to learn and grow together. The team culture is based on diversity, trust, continuous development, and improvement with people from across the globe.

The Galaxy program unites Celonauts across different locations into one dedicated onboarding program which develops recent graduates into well rounded, skilled Services professionals in 12 months.

The Role

In this role you have the chance to launch your career in the enterprise software world by joining the Galaxy Graduate Program as an Associate Technology Consultant. The Galaxy Program will provide you with a structured approach to kick start your career within Celonis, learning and delivering value to our customers, over a period of 12 months.

In particular, Galaxy’s cohort structure will develop your expertise across the Celonis value journey with a focus on learning the technology, implementation cycle, approaches to innovation and automation, enablement, support, and customer engagement best practices.

The work you’ll do:

As an Associate Services Consultant (within the Galaxy Program), you will be an integral part of our teams preparing yourself for a career with Celonis. The program will combine learning and hands-on experience, making sure all aspects of the post sale customer experience are represented. As part of this program, you can expect to:

Deploy high-value use cases utilizing a combination of data analytics, data science, machine learning, and GenAI

Perform complex data transformations with SQL and Python to optimize data for analysis

Complete practical assignments across a variety of customer projects

Implement and configure the Celonis platform for customers

Communicate and collaborate directly with the end customer to gather requirements and showcase deliverables

Collaborate with consultants and internal stakeholders to develop-out value driven operational solutions

Build-out critical KPIs and integrate them into customer solutions

Develop Python scripts utilizing our Machine Learning Workbench (MLWB) to efficiently consume, transform, and transmit data to the Celonis platform

Have the opportunity to collaborate with various teams within the Celonis organization, including but not limited to:

Business Analytics

Business Apps

Product and Engineering

Solution Architecture

Celonis Support

Academy and Global Programs

The qualifications you need:

We are looking for people who enjoy solving problems, think outside the box, and are not afraid to make and learn from their mistakes.

In addition you would have:

A degree in the field of Information Systems, Computer Science, Engineering, Mathematics, or a comparable degree program

Have 0-2 years experience in the fields of (IT-) Consulting, Data Science, or a similar area in the form of an internship or entry-level position

You have a strong interest in Big Data, Data Mining, LLMs, and Process Mining and are seeking to continuously improve in these areas.

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