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 a Lead Data Scientist at INNIO, you'll embark on a thrilling journey where innovation meets energy. In this role, you'll not only develop and manage Digital Waukesha products, but you'll also dive deep into the world of complex algorithms and machine learning. Collaborating with our talented team in Budapest, you’ll supervise junior staff, validate models on our proprietary IoT platform, and produce essential documentation that keeps our services running smoothly. Your background in algorithm design and software development will shine as you tackle large data sets and integrate your knowledge of various programming languages. The opportunity to work with REST and GraphQL APIs, coupled with cloud-based architectures, will further strengthen your expertise. While familiarity with engines and gas compression or power generation is a bonus, it's your passion for creating impactful solutions that will set you apart. At INNIO, you’ll be part of a leading force in power generation and gas compression, actively contributing to sustainability efforts recognized globally. Our supportive youth-driven environment promotes ongoing personal and professional development, hybrid work arrangements, and exceptional benefits designed for a balanced lifestyle. Join INNIO and make your mark at the forefront of the energy sector as we continue to innovate and lead in powering a sustainable future.

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

What qualifications do I need to apply for the Lead Data Scientist position at INNIO?

To apply for the Lead Data Scientist position at INNIO, you should hold a bachelor's or master's degree in Computer Science, Mathematics, or a related engineering field. Additionally, experience in statistical and analytical algorithm design, machine learning, and software development is highly valued.