Data Scientist - Predictive Failure Analytics (OFSE-ST) Houston at Baker Hughes
Houston, TX 77079, USA -
Full Time


Start Date

Immediate

Expiry Date

07 May, 25

Salary

0.0

Posted On

07 Feb, 25

Experience

6 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Feature Extraction, Customer Value, Critical Thinking, Leadership

Industry

Information Technology/IT

Description

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
  • Education Assistance
  • Generous Parental Leave
  • Mental Health resources
  • Dependent Care
  • Additional elected or voluntary benefits

You will be eligible to participate in Company-sponsored benefit programs, including health & welfare programs and the Thrift Plan (401k). You will have a choice of coverage options that best suit your needs. Coverage options and contribution amounts are related to your benefit elections, base salary level, and specific requirements of each of these plans.
This position is eligible for our comprehensive and competitive benefits package, which can be found here, and is further eligible for additional forms of compensation such as bonuses subject to the terms of the applicable benefit plans or policies.
About Us:
We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.
Join Us:
Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.
Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law

Responsibilities

In this role, you will also be responsible for:

  • Working with customers to capture data and analytics requirements, while also receiving the data from various other points to set up a unified structure for testing
  • Developing, verifying, and validating analytics to address customer needs and opportunities.
  • Working alongside software developers and software engineers to translate algorithms into commercially viable products and services.
  • Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
  • Performing exploratory and targeted data analyses using descriptive statistics and other methods.
  • Working with data engineers on data quality assessment, data cleansing and data analytics
  • Generating reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
  • Communicating methods, findings, and hypotheses with stakeholders

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 previous experience with Python
  • Have previous optimization algorithms experience (preferred

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 productiv
Loading...