Data Science Entry information
See Irving, TX salary details
$10.62 - $12.13
1% of jobs
$12.13 - $13.64
5% of jobs
$13.64 - $15.15
13% of jobs
$15.65 is the 25th percentile. Wages below this are outliers.
$15.15 - $16.66
19% of jobs
The median wage is $17.67 / hr.
$16.66 - $18.17
19% of jobs
$18.17 - $19.68
15% of jobs
$20.36 is the 75th percentile. Wages above this are outliers.
$19.68 - $21.19
9% of jobs
$21.19 - $22.71
8% of jobs
$22.71 - $24.22
6% of jobs
$24.22 - $25.73
3% of jobs
$25.73 - $27.24
2% of jobs
How much do data science entry jobs pay per hour?
As of Aug 15, 2026, the average hourly pay for data science entry in Irving, TX is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.01 per hour, depending on experience, location, and employer.
Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.
As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.
Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.
To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.
Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
What cities near Irving, TX are hiring for Data Science Entry jobs?
Cities near Irving, TX with the most Data Science Entry job openings:
