Lead Data Scientist - Time series, python, ML prescriptive analytics with Oil & Gas/Energy/Petrochemical/Aviation domain
IN-KA-BANGALORE-NEON BUILDING WEST TOWER
Baker Hughes
Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.
Lead Data Scientist
Do you enjoy being part of a successful team?
Would you like to develop innovative digital applications to solve our greatest energy transition challenges?
Join our Industrial Engineering Technology Team!
We develop high performing, scaling and innovative end-to-end applications. We collaborate extensively with system engineers, product owners, subject matter experts and various product stakeholders to create unique products. Our team is responsible for implementing solutions that are aligned with our future and extending shared platforms and solutions.
Partner with the best
Candidate is expected to work on Baker Hughes software products related to Oil & Gas domain. These products are developed on popular and well-tested technology stack:
As a Lead Data Scientist, you will be responsible for:
- Developing models and algorithms/analytics within assigned projects taking care of the technical standpoint, using sound engineering principles and adhering to business standards, practices, procedures, and product / program requirements.
- Ensuring the use of state-of-the-art methodologies to carry out job in the most productive and effective way. This may include research activities to identify and introduce new technologies in the field of data acquisition and data analysis
- Attending to conference and collaborate in patent filing.
- Preparing all relevant technical documentation related to development phase always consistent with engineering policies and procedures
- Working in a cross-functional environment in alignment with Customer and business/product needs and with Global Digital Strategy.
- Ensuring alignment of solutions with the latest product requirements and digital trends promoting Artificial intelligence adoption.
- Working in an worldwide agile environment.
Fuel your passion
To be successful in this role you will:
- Have an Engineering degree in Mechanical/Electrical/Chemical/Aerospace specialization.
- Have 5-12 years of experience as a Data Scientist
- Have an experience in time series, python, ML, DS, prescriptive analytics etc.
- Have an exposure working in Oil & Gas/Energy/Petrochemical/Aviation domain.
- Have a good knowledge of digital trends, Industry 4.0 topics, Artificial intelligence, Data Acquisition Systems and signal processing.
- Have a good knowledge of Thermodynamic and/or Rotordynamic (turbomachinery specific) supported by practical experience
- Have clear thinking: Make decisions with speed and accuracy based on the best available information etc.
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:
· 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: Agile Data analysis Engineering Industrial Machine Learning Python Research
Perks/benefits: Flex hours Health care Insurance
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