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Temporary Python Jobs in Texas (NOW HIRING)

Tekwissen

Software Dev Engineer II

Dallas, TX

$96.90K - $132.60K/yr

Temporary Assignment Work Type: Onsite * The Field Experience, Revenue Lifecycle Automation and ... Java, Python, REACT, Micro Frontend. Top 3 Must Have Hard Skills: * React, Java, micro front end, ...

Tekwissen

Sr. Engineer, Software - Kafka

Frisco, TX

$114.90K - $151.40K/yr

Temporary Assignment Work Type: Hybrid * Role Sr. Engineer, Software - designs, develops, and ... The Engineer brings deep expertise in Kafka, Python, and Java object-oriented programming, UNIX ...

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What is the difference between Temporary Python vs Temporary Data Analyst?

AspectTemporary PythonTemporary Data Analyst
Required credentialsBasic programming knowledge, possibly some Python certificationsStatistical, analytical skills, often a degree in data-related fields
Work environmentTech companies, startups, or project-based settingsBusiness, finance, healthcare sectors, often in office settings
Industry usageSoftware development, automation, data processingData interpretation, reporting, business insights

Temporary Python roles focus on scripting, automation, and data processing using Python, often requiring programming skills. Temporary Data Analyst positions emphasize data interpretation, reporting, and statistical analysis. While both roles involve working with data, Temporary Python roles are more technical and coding-oriented, whereas Temporary Data Analysts focus on deriving insights from data sets.

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Assistant Professor in Information Systems

Assistant Professor in Information Systems

University of Texas at Dallas

Richardson, TX • On-site

Other

Posted 12 days ago

University Of Texas At Dallas rating

6.3

Company rating: 6.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

450th of 532 rated colleges and universities

Job description

Posting Details
Posting Number F00354P Position Title Assistant Professor in Information Systems Functional Title Department Management Salary Range Pay Basis Monthly Position Status Academic Year Location Richardson Position End Date (if temporary) Posting Open Date 04/24/2020 Posting Close Date 05/09/2020 Open Until Filled Yes Desired Start Date Job Summary

Teach undergraduate and graduate courses related to information systems and business analytics such as programming for data science and applied machine learning. Conduct research in information systems leading to publication. Advise students. Serve on faculty committees. Provide service to the university. Programming for data science: this course uses python to perform data science tasks such as extracting patterns & knowledge from a large amount of diversified data. It covers basic programming concepts in python and useful packages for data science such as numpy, pandas, matplotlib, and scikitlearn. Upon completing this course, students will build their programming capabilities to solve data science problems. Applied machine learning: this course focuses on learning various machine learning methods, including both supervised learning and unsupervised learning algorithms. The course provides students with an understanding of the general framework of each model and the implementation techniques using python language. The course covers several advanced performance evaluation-related topics and techniques (e.g., overfitting and cross-validation). The course demonstrates how machine learning techniques can be applied in several emerging application areas including business, healthcare, and education.

Minimum Education and Experience Preferred Education and Experience

PhD degree or completion of all degree requirements in Information Systems & Management or related field. Ability to conduct high-quality information systems research leading to publication in top journals. Ability to develop and teach undergraduate and graduate courses related to information systems. UTD is an AA/ADA/EOE.

Essential Duties and Responsibilities Physical Activities Working Conditions Additional Information Special Instructions Summary Important Message

1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.
2) UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its programs and activities, including in admission and enrollment. For inquiries regarding non-discrimination policies, contact the Director of Institutional Equity at InstitutionalEquity@utdallas.edu or the Title IX Coordinator at TitleIXCoordinator@utdallas.edu, or call 972-883-5331.

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