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Entry Level Data Science Jobs in Texas (NOW HIRING)

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Science information

See Texas salary details

$9

$17

$25

How much do entry level data science jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for entry level data science in Texas is $17.75, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $19.95 per hour, depending on experience, location, and employer.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

What are the most commonly searched types of Data Science jobs in Texas? The most popular types of Data Science jobs in Texas are:
What are popular job titles related to Entry Level Data Science jobs in Texas? For Entry Level Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Texas look for? The top searched job categories for Entry Level Data Science jobs in Texas are:
What cities in Texas are hiring for Entry Level Data Science jobs? Cities in Texas with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $36,921 per year, or $17.8 per hour.
Entry Level Java/docker Jenkins Developer - Remote/Data scientist

Entry Level Java/docker Jenkins Developer - Remote/Data scientist

SynergisticIT

Houston, TX โ€ข On-site, Remote

Other

Posted 5 days ago


Job description

Unable to get Interviews or offers? Letโ€™s get You Interviews and Offers with a Process! Every job posting attracts hundreds or thousands of applicants, making it nearly impossible to stand out.

Most job seekers blame their resume when they donโ€™t get interviews, but the real issue is positioning. A degree gives you a foundation, but employers want more โ€” they want proof you can apply your knowledge in realโ€‘world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness.

SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search.

Itโ€™s also one of the most fixableโ€”because interview performance is rarely about intelligence. Itโ€™s usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they donโ€™t learn how to present their skills under pressure.

SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employersโ€”companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many moreโ€”with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.

Why do people fail interviews after doing CS or online courses? Typically itโ€™s one (or several) of these gaps: Weak fundamentals (you know syntax, but not the โ€œwhyโ€) Poor project explanation (you built something, but canโ€™t defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work onโ€”like a sport. You donโ€™t just watch videos; you practice real drills.

We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.

In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AIโ€”because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who canโ€™t convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).

Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? If youโ€™re already getting interviews, youโ€™re closer than you think. Now itโ€™s time to train like you mean itโ€”and turn interviews into offers.

If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Form https://www.synergisticit.com/contact-us/ Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.