Data Scientist
IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2
Baker Hughes
Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.Data Scientist
Would you like to apply your Data Science skills in the Energy Technology space?
Do you enjoy analyzing large amounts data to enable decision-making?
Join our Team
Baker Hughes is the leading energy technology company. Our innovative technologies and services are taking energy forward! Making it safer, cleaner and more efficient for people and the planet.
This role is part of our Gas Technology Services business, which provides advanced aftermarket support and uptime availability in critical industrial environments through every stage of our customers’ equipment and plant lifecycle within energy sector.
Partner with the Best
Our Gas Services Operational Excellence & Risk team is looking for Spare Parts Data Scientist to join the Asset lifecycle and Maintenance Spares.
Our technical engineering team manages life cycle of a unit, such as upgrades, obsolescence management. Critical to commercial operations & quotations, you will be working on the Spare Parts database. This role involves interaction with multiple function such as Engineering, Procurement and Commercial teams.
You will be design & deploy digital initiatives which will lead to reduced cycle time, higher efficiency and productivity, leading to lower costs and increased capacity.
You will be responsible for:
- Identifying innovative solutions to drive productivity and business growth on spare parts business within the Gas Services mission.
- Developing digital applications within assigned projects on spare parts, understanding the business needs and context
- Adopt the state-of-the-art methodologies, included Artificial Intelligence (specifically Robotic Process Automation and Natural Language Processing).
- Performing deep and proactive data analytics, exploration and reporting to executive levels, supporting business strategic decisions
- Partner with Leaders to increase customer competitiveness of the quotation and loopback technical and quality improvements into the Asset.
- Partner with Digital Technology, Engineering and other internal teams to achieve Product life management changes and targets.
Fuel your passion
To be successful in this role you will:
- Have a STEM Bachelor’s or Master’s degree, or equivalent experience
- Have demonstrated coding development in Microsoft Power Platform such as Power BI, Power Apps, Power Automate, Share Point) or similar platforms.
- Have experience coding in Python language with execution of complex technical projects.
- Demonstrated experience within electrical or Mechanical Engineering, or similar preferred.
- Demonstrated experience in Business Intelligence, awareness and experience in Machine Learning applications and/or full stack developing preferred.
- Demonstrate strong communication, team collaboration and influencing skills, with ability to work with high number of stakeholders.
Work in a way that works for you
We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:
- Occasionally working remotely from home or any other work location
- Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working with us
Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.
Working for you
Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:
- Contemporary work-life balance policies and wellbeing activities
- Comprehensive private medical care options
- Safety net of life insurance and disability programs
- Tailored financial programs
- Additional elected or voluntary benefits
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Data Analytics Engineering Industrial Machine Learning NLP Power BI Python Robotics RPA STEM
Perks/benefits: Career development Equity Flex hours Health care Insurance Startup environment
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