Data Scientist/Senior Data Scientist

Job Title
Data Scientist/Senior Data Scientist
Location
Software Technology Innovation Center (STIC), Menlo Park, CA, USA

SLB’s Software Technology Innovation Center (STIC) is looking for an experienced data scientist
with a solid fundamental understanding of various modern machine-learning methods to
address highly challenging scientific and engineering problems. Drawing on an advanced degree
in a quantitative field such as Computer Science, Physics, Statistics, or Applied Mathematics, the
Data Scientist should demonstrate the knowledge and experience to tackle open-ended data
problems by inventing new algorithms and technology. They will have advanced working
knowledge and experience with Machine Learning (ML) algorithms and population-based
meta-heuristic and gradient-based optimization methods. They will also research and assess
next-generation technologies for data-driven modeling and optimization of complex systems.
Additionally, the Data Scientist will collaborate with other scientists and engineers to leverage
ML methods and algorithms for modeling and optimizing problems in the energy industry. They
will participate in data science, industrial analytics, data-driven prognostics, data mining, and
machine learning. Besides theoretical analysis and innovation, they will work closely with
talented engineers to envision solutions and implement algorithms and models.
Reporting to the Technical Lead, the position enjoys a highly visible role within the organization,
with opportunities to collaborate closely with leading technology players in the Silicon Valley
network. This is a very hands-on role, where the candidate will be expected to lead by owning
solutions from inception to delivery.
Responsibilities

• Research and develop data analytics and ML systems for business applications.
• Work with subject matter experts to understand domain needs and constraints.
• Communicate complex ML concepts to management, clients, and the business
• Work with software engineers to integrate ML solutions in business workflows.

community.

• Research and assess next-generation technologies for inference, predictive modeling,

general-purpose data-driven modeling, and optimization of complex systems.

• Demonstrate advanced working knowledge and experience with data analytics, machine

learning algorithms, and optimization methods.

• Generate innovative ideas, establish new technology development directions, and shape

and execute technical projects.

• Maintain state-of-the-art knowledge and contribute to technical discussions and reviews

as an expert in related areas of responsibility.

• Actively disseminate knowledge via Webinars, talks and tutorials for the technical

community within SLB.

• Strong knowledge of latest Generative AI technologies, preferably Large Language

Models (LLMs), is highly recommended.

• Process large multivariate data sets collected from equipment operations,
• Apply theoretical knowledge to solve industrial problems.

manufacturing tests, and diagnostic routines.

• Communicate ideas, plans, and results effectively via oral and written reports.
• Works across multiple cross-functional teams in high-visibility roles to prototype

end-to-end data solutions.

• Works effectively with peers, management, operations groups, and outside

organizations.

• Willingness to provide technical, social, and practical mentorship guidance to others as

needed.

• May participate in the relevant technical reviews and audits of the projects.
• May review, mentor, and coach while defining and promoting the usage of standards,

best practices, and lessons learned.
Qualifications

• MS / Ph.D. in Computer Science, Mathematics, Applied Statistics, Physics, Engineering,

or similar disciplines with demonstrated research capability, software experience or
education, probability theory, decision theory, statistics, ML, reasoning, and inference
frameworks.

• At least 3-4 years of experience in a few areas: deep neural networks, reinforcement

learning, Markov Random Fields, Bayesian networks, semi-supervised learning, natural
language processing, computer vision, image processing, signal processing, distributed
computing, and numerical optimization.

• Software development skills and familiarity with database, programming, and data

science development languages such as R, Python, TensorFlow, and PyTorch.

• Strong oral and written communication skills.
• Familiarity with ML frameworks such as Tensorflow and PyTorch is a must.
• Experience with big-data technologies like Hadoop/Spark or GCP-BigQuery is a plus.

The anticipated salary range for this position is $97,800 - $168,400