1 Data Scientist Job in Sugar, TX
SLB is Hiring a Data Scientist Near Sugar, TX
- Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods.
- Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
- Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
- Apply theoretical knowledge to solve industrial problems.
- Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization.
- Collaborate with field and product engineers to identify key health monitoring parameters of a system.
- 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.
- PhD in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, Computational Physics/Chemistry/Biology, or a highly quantitative discipline with a minimum of three years’ experience, or,
- Master’s degree in Computer Science, Electrical Engineering, Mathematics/Statistics, with a minimum of seven years of AI-related experience
- 3 years of professional experience in Data Analytics, Machine-Learning, and/or computational physics.
- Evidence of proficiency in programming
- Strong oral and written communication skills
- Ability to work independently and in a team of scientists and engineers
Job Summary
Full Time
Business Services
$109k-134k (estimate)
04/19/2024
05/26/2024
chauffage-bois-sec.com
CALGARY, ALBERTA
50 - 100
2015
$10M - $50M
Business Services
Related Companies
The job skills required for Data Scientist include Data Science, Machine Learning, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
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Data scientists are also expected to have stronger software engineering skills that data analysts.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.
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