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Temporary 2024 Data Science Jobs (NOW HIRING)

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... science, and application specific knowledge. • Through analytic modeling, statistical analysis ... Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees.

CINC Systems

Staff Data Scientist

In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company ... science, statistics, and applied machine learning • Collaborate with Data Engineering and AI ...

CINC Systems

Staff Data Scientist

In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company ... science, statistics, and applied machine learning · Collaborate with Data Engineering and AI ...

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

A broader range of degrees will be considered if accompanied by a Certificate in Data Science from ... Founded in 2024, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees.

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Temporary 2024 Data Science information

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$122.7K

$196.5K

How much do temporary 2024 data science jobs pay per year?

As of Jul 22, 2026, the average yearly pay for temporary 2024 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary 2024 Data Science vs Data Analyst?

AspectTemporary 2024 Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often some experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentProject-based, often in tech, finance, or healthcare industries; collaborative teamsBusiness-focused, working with management to interpret data and generate reports
Employer & Industry UsageUsed by companies seeking advanced data modeling and predictive analyticsCommon in retail, marketing, and finance for reporting and operational insights

Temporary 2024 Data Science roles focus on developing predictive models and advanced analytics, requiring technical expertise in machine learning. Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on complex modeling. Both roles are essential but differ in technical depth and project scope.

More about Temporary 2024 Data Science jobs
What cities are hiring for Temporary 2024 Data Science jobs? Cities with the most Temporary 2024 Data Science job openings:
What are the most commonly searched types of 2024 Data Science jobs? The most popular types of 2024 Data Science jobs are:
What states have the most Temporary 2024 Data Science jobs? States with the most job openings for Temporary 2024 Data Science jobs include:
What job categories do people searching Temporary 2024 Data Science jobs look for? The top searched job categories for Temporary 2024 Data Science jobs are:
Temporary 2024 Data Science jobs near you
Infographic showing various Temporary 2024 Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Lecturer, Data Science (Temporary Employee Pool)

Lecturer, Data Science (Temporary Employee Pool)

University of the Pacific

San Francisco, CA

Part-time

Posted 2 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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