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Temporary Computer Data Scientist Jobs (NOW HIRING)

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts ...

Bachelor's Degree, majoring in majoring in Computer Science, Data Science, Information Systems, or a related field * 4+ years of experience as a Data Scientist including experience in statistical ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... computer science, engineering, marketing or social science methods, or equivalent * 3+ years of ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts ...

Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.) Required Skills / Experience:

Data Science, Computer Science or Computer Engineering * Proficient parsing data in different formats for ML applications * Proficient with Linux shell scripting * Experience using statistical ...

Data Scientist

Atlanta, GA · On-site

$90K - $95K/yr

Data Scientist I The Data Scientist I provides data science, statistical, and advanced analytical ... Collaborate with epidemiologists, statisticians, computer scientists, economists, policy analysts ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Data Scientist

Manhattan, NY · On-site

$72K - $109K/yr

... computer science, engineering, marketing or social science methods, or equivalent * 3+ years of ... Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... Computer Science, or Engineering, or equivalent education and related training 2. Exhibit ...

New

WI · On-site

If you are a software developer/Computer Scientist - you may be able to cross over to Data Science! Need a challenge in your work? Want to make a positive impact on U.S. National Security? We are ...

Showing results 41-60

Temporary Computer Data Scientist information

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$46K

$165K

$243.5K

How much do temporary computer data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for temporary computer data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Computer Data Scientist vs Temporary Data Analyst?

AspectTemporary Computer Data ScientistTemporary Data Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; often some experience with machine learningBachelor's in Statistics, Math, or related; proficiency in data visualization and basic analysis
Work EnvironmentTech companies, research labs, or consulting firms; project-based rolesBusiness, finance, marketing sectors; supporting decision-making processes
Employer & Industry UsageUsed across tech, healthcare, finance; often in innovative or R&D projectsCommon in corporate settings, retail, and marketing departments

Temporary Computer Data Scientists focus on advanced analytics, machine learning, and predictive modeling, requiring more technical expertise. Temporary Data Analysts primarily handle data collection, cleaning, and basic analysis to support business decisions. While both roles involve working with data, Data Scientists typically require stronger programming and statistical skills, whereas Data Analysts focus on reporting and visualization.

Can I get a temporary computer data scientist job with no experience?

Temporary computer data scientist roles typically require some experience in data analysis, programming, or related skills such as Python, R, or SQL. Entry-level positions may be available for those with relevant coursework, certifications, or strong analytical aptitude, but most employers prefer candidates with prior experience or demonstrated skills.

What cities are hiring for Temporary Computer Data Scientist jobs?

Cities with the most Temporary Computer Data Scientist job openings:

What are the most commonly searched types of Computer Data Scientist jobs?

The most popular types of Computer Data Scientist jobs are:

What states have the most Temporary Computer Data Scientist jobs?

States with the most job openings for Temporary Computer Data Scientist jobs include:

What are popular job titles related to Temporary Computer Data Scientist jobs?

For Temporary Computer Data Scientist jobs, the most frequently searched job titles are:

Data Scientist

Rosemont, IL • On-site

Reyes Holdings
Food Services and Drinking Places • 10K+ employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


Reyes Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Position Responsibilities: 

  • Apply a variety of methods including data mining, statistical analysis, predictive modeling and analysis, correlation analysis, probability analysis, and network analysis to solve business problems

  • Develop and implement machine learning models and deliver accurate and quality analyses that translate data into actionable insights to support sound business decisions

  • Use the most effective machine learning techniques to answer data science questions, define data requirements for model development, develop models, and evaluate model performance

  • Document projects including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques

  • Document lessons learned and process improvement techniques

  • Other duties as assigned 

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 


Benefits
At the Reyes Family of Businesses, our Total Rewards Strategy prioritizes the holistic well-being of our employees. This position offers a comprehensive benefits package that includes Medical, Dental, Vision coverage, Paid Time Off, Retirement Benefits, and complimentary Health Screenings.
Equal Opportunity Employee & Physical Demands
Reyes Holdings and its businesses are equal opportunity employers. Company policy prohibits discrimination and harassment against any applicant or employee based on race, color, religion, sex, pregnancy or pregnancy-related medical conditions, marital status, sexual orientation, gender identity or expression, age, national origin, citizenship, disability, genetic information, military or veteran status, or any other basis protected by applicable law. In addition, the Company is committed to providing reasonable accommodation to applicants and employees in accordance with applicable law. Requests for accommodation should be directed to your point of contact in the Talent Acquisition or Human Resources departments.
Background Check and Drug Screening
Offers of employment are contingent upon successful completion of a background check and drug screening.
Pay Transparency
Our compensation philosophy embraces diverse factors for fair pay decisions, valuing skills, experience, and the needs of our business. Moreover, this role may have the opportunity to participate in a discretionary incentive program, subject to program rules.Qualifications:

Required Education and Experience: 

  • Bachelor’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization and 3 to 5 years of experience in quantitative or computational functions or High School Diploma/General Education Diploma and 6 to 8 plus years of the above experience 

Preferred Education and Experience: 

  • Master’s Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business Analytics or a field closely related to Data Science specialization

  • Understanding of data structures, algorithms, and distributed computing, both for data and optimization

  • Familiarity to AI, Machine Learning NLP, including new and emerging technologies in Machine Learning/Deep Learning

  • Knowledge of frameworks such as PyTorch, TensorFlow, MLflow Caffe etc.

  • Exposure to Geo Spatial Data, Demography Data 

  • Experience with SQL Development, Stored Procedures, Data Analysis and Data Profiling 

  • Experience with Snowflake, Databricks, Azure ML Cloud Services 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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