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C3 AI
Redwood City, CA, United States
C3.ai, Inc. (NYSE:AI) is a leading Enterprise AI software provider for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The C3 AI Platform supports the value chain in any industry with prebuilt,
Job Source: C3 AIC3 AI
Redwood City, CA, United States
C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The core of the C3 AI offering is an open, data-driven AI architecture t
Job Source: C3 AIAurora CO
Mountain View, CA, United States
Who We Are Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-ha
Job Source: Aurora COWal-Mart
Sunnyvale, CA, United States
DATA If you are considering sending an application, make sure to hit the apply button below after reading through the entire description.Senior Data Scientist professional opening available at Wal-Mart in Sunnyvale, CA. Master's or equiv in Stats, Econ., Analytics, Math, CS, IT, or rel. field & 1 yr of exp in analytics rel. field; OR Bachelor's
Job Source: Wal-MartMoloco
Redwood City, CA, United States
About Moloco: Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance
Job Source: MolocoGrid Dynamics
Cupertino, CA, United States
Description Position at Grid Dynamics Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop a high-performance data analytics platform, which handles petabytes of data. We are looking for an e
Job Source: Grid DynamicsJerry
San Jose, CA, United States
We'd love to hear from you if you like: Making a big impact with a Forbes Top Startup Employer Working on products that have traction (40X revenue growth in 4 years | #1 rated app in the insurance comparison category) Solving problems in a huge market ($2T market size) Working closely with serial entrepreneurs and seasoned leaders who have scale
Job Source: JerryProprius
Sunnyvale, CA, United States
Senior Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: Do you have: Expertise in the development, execution, and improvement of action plans with regards to Software Engineering? Experience leading and participating in medium- to large-scale projects? Directing medium to large projects? Leading a small tea
Job Source: PropriusMenlo Park, CA, United States
Job Title
Data Scientist/Senior Data Scientist
Location
Software Technology Innovation Center (STIC), Menlo Park, CA, USA
Job Description
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.
Work with software engineers to integrate ML solutions in business workflows.
Communicate complex ML concepts to management, clients, and the business
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.
Apply theoretical knowledge to solve industrial problems.
Process large multivariate data sets collected from equipment operations,
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.
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.
Strong oral and written communication skills.
The anticipated salary range for this position is $97,800 - $168,400
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Email Alert for Data Scientist/Senior Data Scientist jobs in Menlo Park, CA, United States
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