62 Data Scientist (Big Data Engineer) Jobs in Austin, TX
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MRoads is Hiring a Data Scientist (Big Data Engineer) Near Austin, TX
Job Details
Job Description:
Assessment, analysis, planning, remediation, and fraud analytics road mapping services. Inventory and evaluation of systems, data, processes, and solutions.
Big Data, AI/ML, Data Science workflows and automation
Job Summary
Full Time
$117k-143k (estimate)
06/23/2024
06/27/2024
mroads.com
Plano, TX
50 - 100
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The job skills required for Data Scientist (Big Data Engineer) include Analysis, Data Science, Big Data, Planning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (Big Data Engineer). 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 (Big Data Engineer). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist (Big Data Engineer) positions, which can be used as a reference in future career path planning. As a Data Scientist (Big Data Engineer), 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 (Big Data Engineer). You can explore the career advancement for a Data Scientist (Big Data Engineer) 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.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
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.
02/12/2022: San Diego, CA
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.
02/01/2022: Peoria, IL
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.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
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