Job details

Lead Data Scientist - Waukesha Gas Engines

As a Lead Data Scientist at INNIO, you will develop and manage Digital Waukesha products, implement complex algorithms, and apply machine learning methods on large data sets. You will also supervise junior staff, validate models on INNIO’s IoT platform, and provide essential documentation. The role requires a degree in a related field, experience in algorithm design, software development, and machine learning. Familiarity with large data sets, additional programming languages, REST and GraphQL APIs, and cloud-based architectures are beneficial. Experience with engines and gas compression or power generation is a plus.

At INNIO Group, we are a leading force in the energy sector, specializing in power generation and gas compression at or near the point of use. Our comprehensive range of products and services includes advanced, fuel-flexible gas engines, power equipment, and a digital platform. We have a significant global footprint, powering over 48,000 installations across more than 100 countries. Our commitment to sustainability has been recognized with a Platinum rating by EcoVadis, reflecting our dedication to corporate social responsibility. Our blend of innovation, excellence, and sustainability has positioned us as a trusted partner in the energy sector.

At INNIO we offer you:

Young & supportive team - in a fast-growing international business environment
Learn & develop yourself - help you craft your career path with (INNIO learning, free language courses according to business needs)
Hybrid working - 50% Office, 50 % Home Office with flexible working hours
Cafeteria package with various options - SZÉP Card, Cash option, Nursery & kindergarten support
Medicover Spring White Package- from the first day of employment
Easily accessible location - in the heart of the most vibrant campus area in Budapest (location: 13rd District, easy to approach by Metro Line 3)
Take a break - Recharge your batteries with free coffee and tea selection in the kitchen area
Live an active lifestyle – activate your AYCM pass

In this role you will be responsible for:

Work in the Budapest engineering department with close contact to the Waukesha (US) and Jenbacher (AT) Data Science Team of the INNIO Digital organization as well as strong collaboration with other disciplines (i.e. Research Partners, Controls Engineering, Service, Electrical Engineering and System Design, Mechanical Design, Thermodynamics, IT departments)
Develop new and existing Digital Waukesha products and manage the programs from an engineering point of view, working closely with our product line management team as well as partners
Implement complex algorithms and analytics from idea generation over development to product release
Apply advanced methods like machine and deep learning on a huge set of timeseries data combined with multiple data sources and types
Work on multiple projects simultaneously, supervise and guide Junior Data Scientists and Interns
Validation of advanced models on INNIO’s own developed IoT platform under consideration of lean and efficient coding
Use of modern software technologies for advanced analysis of sensor and engine data to find patterns and relationships to the condition of components and the engine (i.e. data mining, machine learning)
Willingness to work independently and leverage available data, analyze, define path(s) to solution, and influence stakeholders in aligning to that path forward.
Provide meaningful documentation for our service department and customers (user manuals, setup instructions, test reports and FAQ’s)
Continuously communicate with stakeholders in technology/service engineering, service and operations departments to ensure efficient project execution

Your Profile:

Bachelor’s or master's degree (or equivalent) in Computer Science, Mathematics or other related areas in engineering
Working experience in statistical and analytical algorithm design and technologies (Python, PyTorch, TensorFlow, SciKit)
Working experience in software development and related processes including Agile Methodology (Scrum; Sprint; etc.)
Familiarity in dealing with large time series data sets (Big Data)
Experience in development of scalable algorithms or analytics and machine learning techniques
Strong analytic and problem-solving skills
Affinity to design analytics on a high quality and maintainability level
Willingness and ability to travel to the United States (Waukesha) and to Austria (Jenbach) by approx 30% a Year

Preferable Requirements:

Proficiency in Java and JavaScript
Skilled in utilizing REST and GraphQL APIs
Knowledge of cloud-based microservice architectures, such as Kubernetes and Docker
Understanding of internal combustion engines
Familiarity with gas compression or power generation applications

Innio Glassdoor Company Review

3.9

Innio DE&I Review

3.8

CEO of Innio

Dr. Olaf Berlien

Approve of CEO

Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Lead Data Scientist - Waukesha Gas Engines, Innio

As the Lead Data Scientist at INNIO, you'll embark on an exciting journey to shape the future of Digital Waukesha products. This isn’t just another job; it’s an opportunity to dive deep into the intricacies of machine learning and apply your expertise to large datasets. Imagine implementing complex algorithms and collaborating with a team of talented professionals, including junior staff members, as you validate models on INNIO’s cutting-edge IoT platform. Your innovation will directly impact our comprehensive product range, which includes advanced, fuel-flexible gas engines and sophisticated power generation solutions. With a degree in a related field under your belt, your experience in algorithm design and software development will be essential as you take on this pivotal role. You’ll have the chance to work flexibly, 50% from home and 50% in the office, cultivating a balance that's perfect for innovation and creativity. At INNIO, we truly value our team members, offering opportunities for personal development through various training programs and hybrid work options. You’ll also enjoy perks like a cafeteria package and support for nursery needs, all within a lively campus location in Budapest. In addition, your work will contribute to a significant global presence, powering installations across over 100 countries. With our commitment to sustainability recognized by EcoVadis, you’ll feel proud not only of your work but also of being part of a company that prioritizes social responsibility. Join us and help propel INNIO into the future of energy technology!

Frequently Asked Questions (FAQs) for Lead Data Scientist - Waukesha Gas Engines Role at Innio

What does a Lead Data Scientist at INNIO do?

As a Lead Data Scientist at INNIO, your role involves developing and managing Digital Waukesha products, implementing complex algorithms, and leveraging machine learning on large datasets. You'll also supervise junior staff and validate models on our IoT platform, ensuring effective project execution.