Data Science Entry information
See Spring, TX salary details
$11.24 - $12.64
5% of jobs
$12.64 - $14.04
13% of jobs
$14.51 is the 25th percentile. Wages below this are outliers.
$14.04 - $15.44
19% of jobs
The median wage is $16.37 / hr.
$15.44 - $16.84
19% of jobs
$16.84 - $18.24
15% of jobs
$18.86 is the 75th percentile. Wages above this are outliers.
$18.24 - $19.64
9% of jobs
$19.64 - $21.04
8% of jobs
$21.04 - $22.44
6% of jobs
$22.44 - $23.84
3% of jobs
$23.84 - $25.24
2% of jobs
How much do data science entry jobs pay per hour?
As of Aug 24, 2026, the average hourly pay for data science entry in Spring, TX is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.47 per hour, depending on experience, location, and employer.
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.
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.
Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.
Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.
What cities near Spring, TX are hiring for Data Science Entry jobs?
Cities near Spring, TX with the most Data Science Entry job openings:
