1

Temporary Computer Data Scientist Jobs in Katy, TX

Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related STEM field required. Master's Degree in Data Science preferred. Licenses/Certifications: (None ...

Big Data Analytics Process Location: Houston, TX Must Have Skills (Top 2 technical skills only ... D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science. Top 3 ...

Showing results 21-40

Temporary Computer Data Scientist information

See Katy, TX salary details

$42.2K

$151.4K

$223.4K

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

As of Aug 24, 2026, the average yearly pay for temporary computer data scientist in Katy, TX is $151,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,500.00 and $156,000.00 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 near Katy, TX are hiring for Temporary Computer Data Scientist jobs?

Cities near Katy, TX with the most Temporary Computer Data Scientist job openings:

Data Scientist - Intermediate - Hybrid

Precision Human Capital Inc

Houston, TX • On-site

Full-time

Re-posted 5 days ago


Job description

 Our client requires an intermediate level Data Scientist on a permanent / full time basis with ability to work Hybrid Monday to Friday in Houston, TX.
As the ideal candidate, you will be responsible for the following:
  • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments
  • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
  • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes
  • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends.
  • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets
  • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments
  • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written
  • Understand what matters most and prioritize ruthlessly
  • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and Senior Executives)

Qualifications:
  • BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with two plus years relevant experience, or PhD degree in a related field with 1 plus years of relevant experience.
  • Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
  • Understanding of statistical concepts and experience in applying them.
  • Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
  • Experience in data analyses using SQL.
  • Experience in at least one programming language (preferably Python).
  • Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:
  • Domain experience in product, marketing, growth, and/or other business analytics areas.

If this opportunity speaks to you than don't delay, apply today!