Associate Value Engineer (AI-Driven Data Science & Analytics) - Orbit Program
About this role
Professionals who thrive on bridging technical data concepts with high-level business strategy will find a strong fit in this position. Celonis brings on individuals through the Orbit Program to act as trusted advisors operating at the intersection of technology and business, partnering closely with sales teams and customers. Participants build targeted prototypes, deliver executive presentations, and translate complex enterprise challenges into tangible solutions using the Celonis platform.
Within the Global Value Engineering Center of Excellence, team members engage in client-facing interactions, receive dedicated mentorship, and collaborate within a structured cohort model. Daily responsibilities involve scoping technical requirements, handling objections, and developing data models with SQL and PQL to showcase process intelligence. This immersive 12-month program is designed to kickstart careers in enterprise software by combining hands-on client engagements with continuous coaching.
What you will do
- Consult with customers through systems analysis to identify core business challenges and determine appropriate Celonis solutions.
- Prototype and develop AI solutions tailored to customer needs, encompassing traditional machine learning and LLM-based approaches.
- Develop and modify data models using SQL and PQL to create compelling prototypes addressing customer pain points.
- Lead proof-of-concept projects within the platform to demonstrate tangible value aligned with customer strategies.
- Articulate strategic business value and deliver impactful presentations to senior executives.
- Collaborate with Product and Engineering teams by identifying innovation opportunities and contributing reusable collateral to the center of excellence.
What you need
- Hold a bachelor's degree in Business, Engineering, Data Analytics, Economics, Computer Science, Mathematics, or a related STEM field.
- Possess extensive internship experience or one to three years of full-time work experience.
- Demonstrate hands-on experience with at least one data analytics solution such as SQL, Microsoft Power BI, or Tableau.
- Exhibit strong analytical and creative problem-solving skills to apply technology to business challenges.
- Maintain a customer-centric mindset with the ability to build relationships with senior management and influence decision-making.
- Communicate fluently in English with strong organizational skills to prioritize and execute on deadlines.
Nice to have
- GPA of 3.6 or higher
- Degree in Industrial Engineering or a combined technical and business discipline
- Experience with Python and Machine Learning
- Customer-facing, sales, or proof-of-concept project experience
- Fluency in French and/or Spanish
Benefits
- Base salary range of $90,000 to $95,000 USD with bonus or commission, equity, and benefits
- Restricted Stock Units and merit-based refresh grants
- Inclusive parental leave policy offering 24 weeks for primary carers and 12 weeks for supporting carers
- Unlimited or generous paid time off and a flexible hybrid work model
- Subsidized Wellhub memberships, mental health counseling, and wellness weeks
- Paid time off for annual Impact Days to volunteer for community and environmental causes
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
The position utilizes a flexible hybrid work model that balances remote focus with vibrant office collaboration.
What compensation and financial benefits are included?
The base salary range is $90,000 to $95,000 USD, and the total compensation package includes base salary, bonus or commission, equity, and benefits like health, dental, life, 401k, and paid time off. Every full-time employee also receives Restricted Stock Units and merit-based refresh grants.
How is the Orbit Program structured?
The immersive 12-month program is structured into classes and cohorts with start dates organized twice a year, typically featuring summer start dates in June or July and winter start dates in January or February. Your journey begins with comprehensive onboarding and enablement, followed by hands-on experience in customer engagements and targeted training.