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Temporary Reddit Data Science Jobs (NOW HIRING)

Reddit

Staff Product Manager, Growth

... what Reddit is about * Develop frameworks for optimizing structured data, content signals, and ... Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Statistics ...

Emerson

Data Scientist

Boulder, CO · On-site

Responsibilities : • Drive the development and implementation of data science and AI models and ... with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J or TN ...

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Temporary Reddit Data Science information

What does a Temporary Reddit Data Science job involve?

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 Science professional, 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.

More about Temporary Reddit Data Science jobs
What cities are hiring for Temporary Reddit Data Science jobs? Cities with the most Temporary Reddit Data Science job openings:
What are the most commonly searched types of Reddit Data Science jobs? The most popular types of Reddit Data Science jobs are:
What states have the most Temporary Reddit Data Science jobs? States with the most job openings for Temporary Reddit Data Science jobs include:
What job categories do people searching Temporary Reddit Data Science jobs look for? The top searched job categories for Temporary Reddit Data Science jobs are:
Temporary Reddit Data Science jobs near you
Infographic showing various Temporary Reddit Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.
Lecturer, Data Science (Temporary Employee Pool)

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

San Francisco, CA

Part-time

Re-posted 21 days ago

Job description

Position Information
Title Lecturer, Data Science (Temporary Employee Pool) Campus Stockton Department Data Science Posting Number F01077 Full or Part Time Part Time Open Date 05/22/2026 Close Date 12/14/2026 Open Until Filled Yes Days Per Week 3 Weeks Per Year 15
Position Description
Primary Purpose and Essential Functions
The University of the Pacific is seeking a dynamic and data-driven Adjunct Faculty member to lead a specialized, one-unit experiential learning course in Customer Analytics for the Fall 2026 semester.
The School of Engineering and Computer Science at the University of Pacific invites applications for a part-time, non-tenure track Lecturer position in the Data Science Department. We are seeking a lecturer to teach a 1-unit, 15-week asynchronous online course for the Master of Science in Data Science program. The lecturer will be responsible for organizing course content and materials, producing weekly video lectures aligned with the course's learning outcomes, designing and grading weekly assignments, and providing online (office hour) support to students. In addition, the instructor will also create and coordinate project work for the weekly, in-person, 3-hour Data Science Socratic Lab, which provides an interactive support component for students enrolled in asynchronous courses.
We are looking for someone with expertise to teach the following courses:
  • Customer Analytics (fall semester)

University of the Pacific recognizes that diversity, equity, and inclusion is foundational to the success of our valued students and employees. We prioritize policy and decision-making that demonstrates awareness of, and responsiveness to, the ways socio-cultural forces related to race, gender, ability, sexuality, socio-economic status, etc. impede or propel students, faculty, and staff.
Minimum Qualifications
  • Master's or Ph.D. in Data Science, Computer Science, Business Analytics, or a related field
  • Demonstrated experience in retail analytics, e-commerce, or consumer data modeling.
  • A commitment to experiential learning and the ability to translate technical concepts into business value.
Preferred Qualifications
  • Knowledge and experience in data science, specifically customer analytics.
  • Experience and sensitivity in working with people of diverse backgrounds and cultures.
  • Demonstrated experience in advancing social justice, equity, and inclusion in a university setting.
  • Ability to engage and integrate culturally responsive practices and knowledge in their work.
Physical Requirements
Physical Requirements:
The physical demands described here are representative but not definitive of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Requires extended periods of sitting and repetitive hand/wrist motion while using a computer keyboard and phone. Occasional standing, walking, climbing stairs, bending, stooping, and reaching. Occasional lifting of up to 25 pounds.

No Visa Sponsorship:
This position is not eligible for visa sponsorship now or in the future.
Hiring Range $5000.00 per unit (We consider factors such as, but not limited to, scope and responsibilities of the position, candidate's qualifications, internal equity, as well as market and organizational considerations when extending an offer.) Special Instructions
To apply, please submit the following:
  • Curriculum vitae
  • Contact information for three references
Contact Information
Dr. James Hetrick
Professor/Director of Data Science.
email: jhetrick@PACIFIC.EDU
Contact Email jhetrick@pacific.edu
Reference Letter Information
Are Applicants Required to Submit References for This Posting? Yes Minimum Number of References 3 Maximum Number of References 3 Background Check Statement
All applicants who receive a conditional offer of employment are required to execute a release and authorization for a background screening.
AB 810 Misconduct Disclosure Requirement: University of the Pacific complies with California Assembly Bill 810, requiring candidates accepting conditional job offers to disclose any final administrative or judicial findings, ongoing proceedings, allegations, resignations under investigation, or appeals related to sexual harassment or misconduct within the past seven years.
Anti-Discrimination/EEO Policy Statement

University of the Pacific is an equal opportunity employer dedicated to workforce diversity across backgrounds, experiences, and viewpoints. Pacific does not unlawfully discriminate in its hiring of faculty and staff, or in the provision of its employment benefits to its faculty and staff on the basis of race, color, religion, national origin, ancestry, age, genetic information, sex/gender, marital status, military and veteran status, sexual orientation, medical condition, pregnancy, gender identity, gender expression, or mental or physical disability, or other legally protected characteristics or combination of such characteristics. While we strive to attract a broad and representative pool of candidates, all hiring decisions are made based on merit, selecting the most qualified individual for each position.

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