ZipRecruiter

Log In

2

Entry Level Data Science Jobs in Texas (NOW HIRING)

SynergisticIT

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Here at SynergisticIT we just don't focus on getting you a job we make careers. Entry level job ... Data analysts/Data scientists * Data visualization engineers * BI analysts * Machine learning ...

SynergisticIT

entry level java developer

Austin, TX

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 ...

SynergisticIT

Entry Level Java Developer

Austin, TX

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 ...

next page

Showing results 1-20

All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Texas

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:
Entry Level Data Science jobs near you
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 Data Engineer

Entry Level Data Engineer

SynergisticIT

Dallas, TX

$113K - $136K/yr

Other

Posted 3 days ago

Job description

Job Opportunities At SynergisticIT

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers.

Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews.

In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.

All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We have an excellent reputation with the clients. Currently, we are looking for:

  • Entry-level software programmers
  • Java Full stack developers
  • Python/Java developers
  • Data analysts/Data scientists
  • Data visualization engineers
  • BI analysts
  • Machine learning engineers

For full time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates.

Required skills for Java/Full stack/software programmer:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, AWS, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Snowflake, Databricks, LLM, Gen AI, text mining, Tableau, PowerBI, SAS, Tensorflow

If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

Apply