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Entry Level Data Science Jobs in Garland, TX (NOW HIRING)

Barry-Wehmiller

Entry Level Software Engineer

Dallas, TX

$75K - $90K/yr

... sciences, industrial, and advanced technology industries to build the future of manufacturing and ... Create data analytics, reporting, and scripting solutions that support manufacturing operations

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

As of Sep 8, 2026, the average hourly pay for entry level data science in Garland, TX is $18.41, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $20.67 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

What are the most commonly searched types of Data Science jobs in Garland, TX?

The most popular types of Data Science jobs in Garland, TX are:

What cities near Garland, TX are hiring for Entry Level Data Science jobs?

Cities near Garland, TX 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 Garland, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $38,289 per year, or $18.4 per hour.

Software Developer(Entry/Junior Level) at SynergisticIT Dallas, TX

Downtown Boulder Partnership

Dallas, TX • On-site

$60 - $80/hr

Other

Posted 7 days ago

Job description

Software Developer (Entry/Junior Level) – SynergisticIT, Dallas, TX.

Company: SynergisticIT seeks entry-level engineers. As an entry-level engineer, you will:

  • Quickly learn the latest technologies across Web/Mobile Apps, Cloud/DevOps, Data science, and Data engineering.
  • Work with mentors and peers to become an expert in your area.
  • Learn the best engineering practices.

SynergisticIT has helped thousands of candidates secure jobs at technology clients such as Apple, Google, PayPal, Western Union, Bank of America, Visa, and Walmart Labs since 2010.

Position Responsibilities
  • Develop, test, debug, and document application software.
  • Develop and implement software solutions to meet real‑time test requirements.
  • Write and execute test procedures.
  • Develop training materials for enterprise-wide sharing.
  • Develop software verification plans, test procedures, and test environments.
  • Work under general direction as part of an agile development team.
Basic Qualifications (Required Skills/Experience)
  • Education through advanced degree (e.g., Bachelor).
  • 0+ years of experience in C, C++, and Full Stack development.
  • Strong software development, optimization, and problem‑solving skills.
  • Proficiency in JavaScript.
  • Experience using Windows or Linux operating systems for software development.
  • Strong written and oral interpersonal skills for creating and improving technical documents and engaging a globally distributed engineering team.
  • Knowledge of the entire software development lifecycle.
Preferred Qualifications (Desired Skills/Experience)
  • Basic understanding of networking concepts.
  • Proficiency in object‑oriented programming.
  • Familiarity with software development and system integration, including Agile concepts.
  • Basic programming knowledge in Python, Power BI, Tableau, or R.
Who can apply?

Ideal for recent IT graduates looking to build a solid career in the technology industry.

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