Vaga de DS104-ESG-Tech Prof - Data Science, Sr
1 vaga: | Publicada em 06/03
- A Combinar
Sobre a vaga
We are looking for the right people people who want to innovate, achieve, grow
and lead. We attract and retain the best talent by investing in our employees and
empowering them to develop themselves and their careers. Experience the
challenges, rewards and opportunity of working for one of the worlds largest
providers of products and services to the global energy industry.
A Senior Data Scientist leads project tasks or small projects to perform data
engineering, data modeling or model deployment. This role works independently with
subject matter experts to obtain data from different sources, complete data clean
up and build a data dictionary independently. This role is able to build models
independently and implement the model deployment process using off-the-shelf
solutions or with assistance from a developer. This role starts to contribute to
and shape the group strategy and identifies opportunities for process improvement.
This role co-authors publications and patents and starts to participate in
industry events. Completion of an undergraduate degree in STEM and 4+ years of
related experience is required. Master's degree in STEM is preferred.
Halliburton is an Equal Opportunity Employer. Employment decisions are made
without regard to race, color, religion, disability, genetic information,
pregnancy, citizenship, marital status, sex/gender, sexual preference/
orientation, gender identity, age, veteran status, national origin, or any other
status protected by law or regulation.
Location
Rua Paulo Emidio Barbosa 485 Q, Rio de Janeiro, Rio de Janeiro, 291941, Brazil
Job Details
Requisition Number:
182988
Experience Level:
Experienced Hire
Job Family:
Engineering/Science/Technology
Product Service Line:
Landmark Software & Services
Full Time / Part Time:
Full Time
Additional Locations for this position:
Compensation Information
Compensation is competitive and commensurate with experience.
Job Segment:
Data Modeler, Business Process, Database, Data, Management, Technology