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Data Scientist Product Analyst Intern Algorithm to do log normalization using ML/AI on big data (6 months)
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Annonce N°69540Publié le 10/04/2022 à 17:44
Description
DATA SCIENTIST, PRODUCT ANALYST INTERN - ALGORITHM TO DO LOG
NORMALIZATION USING ML/AI ON BIG DATA (6 MONTHS) Montpellier - France
JOB TITLE: Data Scientist, Product Analyst Intern - Algorithm to do
log normalization using ML/AI on big data (6 months) LOCATION:
Montpellier, France ABOUT SCHLUMBERGER: We are Schlumberger, the
leading provider of technology and services to the energy industry.
Throughout much of the oil and gas lifecycle in over 120 countries; we
design, develop, and deliver technology and services that transforms
how work is done. We define the boundaries of the industry by
unleashing our talented people’s energy. We’re looking for
innovators to join our diverse community of colleagues and develop new
solutions and push the limits of what’s possible. If you share our
passion for discovery and want to find out what you could really do,
then here is the place to do it. JOB SUMMARY: You will have the
responsibility to understand the challenges when it comes to
performing log normalization and to translate this into an efficient
scalable algorithm usign AI/ML approach and design. As a data
scientist you will work in an autonomous manner, supported by
technical experts, product owner and domain experts. ESSENTIAL
RESPONSIBILITIES AND DUTIES: You will have the responsibility to
understand the challenges when it comes to performing log detph
shifting and to translate this into an efficient scalable algorithm
using AI/ML approach and design. As a data scientist you will work in
an autonomous manner, supported by technical experts, product owner
and domain experts. QUALIFICATION: * Final year COMPETENCIES: * Strong
problem-solving skills and technical judgment * Python 3 * Data
scientist skills / good knowledge in ML / AI * Petrophysics / geology
skills * Good English communication skills * Spark, Argo, Kubernetes
Schlumberger is an equal employment opportunity employer. Qualified
applicants are considered without regard to race, color, religion,
sex, sexual orientation, gender identity, national origin, age,
disability, or other characteristics protected by law.