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Temporary Reddit Data Science Jobs in Texas (NOW HIRING)

... in Computer Science, Data Science, or a related technical field * Strong Python skills and ... Pay within range listed above + temporary benefits package (applicable after 60 days of employment ...

Program Manager

San Marcos, TX · On-site

$3.0K - $3.1K/mo

  • Medical

  • Retirement

  • PTO

... Data Science Recruitment Type Open Recruiting Job Type Part-Time Funding Source Temporary Monthly Salary $3,000.00-$3,138.00 Job Category Exempt Required Qualifications: Applicants must specifically ...

Machine Learning Engineer

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st Shift (United ... As one of the first data science hires, you will play a pivotal role in shaping our ML strategy ...

Showing results 21-40

Temporary Reddit Data Science information

What does a temporary Reddit data scientist do?

A Temporary Reddit Data Science role typically involves analyzing Reddit's user data, content trends, and platform activity for a fixed period of time. Data scientists in this role use statistical methods and machine learning to interpret large datasets, generate actionable insights, and support decision-making. They may work on projects such as user engagement analysis, recommendation algorithms, or community growth metrics. Since the position is temporary, it often focuses on specific short-term projects or needs within Reddit's data team.

What are the key skills and qualifications needed to thrive as a temporary Reddit data scientist, and why are they important?

To thrive as a Temporary Reddit Data Scientist, you need strong statistical analysis, programming skills (often in Python or R), and experience with data manipulation and visualization, typically supported by a relevant degree in data science, statistics, or a related field. Familiarity with tools such as SQL, Jupyter notebooks, machine learning frameworks, and Reddit's API is commonly required. Analytical thinking, curiosity, and effective communication are essential soft skills for interpreting data insights and collaborating with cross-functional teams. These skills enable data-driven decision-making and help optimize user engagement and platform features during a temporary assignment.

What are the main challenges faced by a temporary Reddit data scientist, and how can they effectively contribute in a short-term role?

As a Temporary Reddit Data Science professional, one of the main challenges is quickly acclimating to Reddit’s unique data structures, fast-paced team dynamics, and ongoing projects. You will need to rapidly understand existing pipelines, tools, and business objectives to provide meaningful insights within a short timeframe. Effective collaboration with cross-functional teams—such as engineering, product, and community management—is crucial for success. Being proactive in asking questions and leveraging documentation will help you make impactful contributions despite the limited duration of the assignment.

What is the difference between Temporary Reddit Data Science vs Temporary Reddit Data Analyst?

AspectTemporary Reddit Data ScienceTemporary Reddit Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's in Data Analysis, Statistics, or related fields
Work EnvironmentCollaborative teams, research-focused projects, tech companiesBusiness units, marketing teams, product teams
Employer & Industry UsageTech companies, social media platforms, research firmsMarketing agencies, e-commerce, social media platforms
Common Search & ComparisonOften compared for data-driven roles involving complex modelingCompared for roles focusing on data interpretation and reporting

Temporary Reddit Data Science roles typically involve advanced analytics, machine learning, and modeling tasks requiring higher technical expertise. In contrast, Temporary Reddit Data Analyst positions focus on data interpretation, reporting, and supporting decision-making processes. Both roles are essential in social media and tech industries but differ in technical depth and responsibilities.

What are the most commonly searched types of Reddit Data Science jobs in Texas?

The most popular types of Reddit Data Science jobs in Texas are:

What cities in Texas are hiring for Temporary Reddit Data Science jobs?

Cities in Texas with the most Temporary Reddit Data Science job openings:

Infographic showing various Temporary Reddit Data Science job openings in Texas as of June 2026, with employment types broken down into 63% Full Time, 31% Part Time, and 6% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Assistant Professor in Information Systems

University of Texas at Dallas

Richardson, TX

Full-time

Re-posted 23 days ago


University Of Texas At Dallas rating

6.0

Company rating: 6.0 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

564th of 618 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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