Leucipa Data Scientist - Special Projects (ST - Technology Staff) Houston

US-TX-HOUSTON-14990 YORKTOWN PLAZA DRIVE

Baker Hughes

Baker Hughes | We take energy forward - making it safer, cleaner, and more efficient for people and the planet.

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Are you an experienced Data Scientist looking for a new opportunity?

Are you excited by Energy Technologies?
 

Join Our Growing Team

 

As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.

In this role, you will:

  • Work with customers to capture data and analytics requirements
  • Develop, verify, and validate analytics to address customer needs and opportunities.
  • Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
  • Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  • Work with data engineers on data quality assessment, data cleansing and data analytics
  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
  • Communicate methods, findings, and hypotheses with stakeholders.

Fuel your passion
To be successful in this role you will:

  • Have a bachelor's degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math).
  • Have a minimum 6 years of professional experience.
  • Have demonstrated skills in data management methods.
  • Have demonstrated skills in feature extraction and real-time analytics development and deployment.
  • Have demonstrated skills in prescriptive analytics and analytic prototyping.
  • Have demonstrated skills in one or more industry sectors where Baker Hughes operates.

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:

  • For us flexibility works both ways, we work with global customers and have annual targets, so as long as we can respond and deliver to these we can offer a lot of flexibility in this role. Talk to us about your desired flexible working options when you apply


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.
 

The Good Stuff
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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Data Analytics Data management Data quality Engineering Industrial Mathematics Prototyping Statistics STEM

Perks/benefits: Career development Flex hours Health care Insurance

Region: North America
Country: United States
Job stats:  4  0  0

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