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Data Scientist
Confidential Houston, TX
$102k-129k (estimate)
Full Time 2 Months Ago
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Confidential is Hiring a Data Scientist Near Houston, TX

Job Details

Full-time or part-time: Full-time
Job title: Data Scientist
Job Location: 1430 Enclave Parkway, Houston, TX 77077
Job Description:
Conduct undirected research and tackle open-ended data problems and questions. Invent new algorithms to solve data problems. 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 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.
Minimum Education & Experience Requirements:
Must have a Master's Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field. Must have 4 years of postbaccalaureate experience as a Software Engineer, Developer, Data Analyst or a closely related IT role. The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git.
Must have a Master's Degree, or foreign educational equivalent, in Computer Science, Management Information Systems, or other closely related IT field. Must have 4 years of postbaccalaureate experience as a Software Engineer, Developer, Data Analyst or a closely related IT role. The 4 years of experience must include experience with AngularJS; Typescript; Python; Plotly; Linux; Perl; Flask; API; SQL; Anova (Analysis of Variance); Regression and Correlation Analysis; Exponential Smoothing; Tableau; ETL; Data Visualization (Dash); Microservices; and Git.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Job Summary

JOB TYPE

Full Time

SALARY

$102k-129k (estimate)

POST DATE

07/13/2024

EXPIRATION DATE

07/14/2024

WEBSITE

michaelmabraham.com

SIZE

<25

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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 III 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.

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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.

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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.

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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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