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Entry Level Data Science Jobs in Grand Prairie, TX

Company Description Data Cloud Merge is a communications Company that was established in the year ... Bachelor's degree or higher in scientific majors, Computer science, Information systems, Business ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Accounting, Actuarial Science, Analytics/Data Science, Business Administration/Management, Computer ... 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 Grand Prairie, TX salary details

$10

$18

$25

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

As of Aug 12, 2026, the average hourly pay for entry level data science in Grand Prairie, TX is $18.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $20.24 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.

What are the most commonly searched types of Data Science jobs in Grand Prairie, TX? The most popular types of Data Science jobs in Grand Prairie, TX are:
What are popular job titles related to Entry Level Data Science jobs in Grand Prairie, TX? For Entry Level Data Science jobs in Grand Prairie, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Grand Prairie, TX look for? The top searched job categories for Entry Level Data Science jobs in Grand Prairie, TX are:
What cities near Grand Prairie, TX are hiring for Entry Level Data Science jobs? Cities near Grand Prairie, TX with the most Entry Level Data Science job openings:
Infographic showing various Entry Level Data Science job openings in Grand Prairie, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,511 per year, or $18 per hour.

Full-time

Re-posted 21 days ago


Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Create Use Case Scenarios and maintain Use Cases (Business User stories) and model Use Case Diagrams, Activity Diagrams, Sequence Diagrams, and Business Flow Diagrams.
  • Prepare BRD, FRD to manage, analyze, and convert business requirements into functional specifications.
  • Design new process flows and documented the business process and various business scenarios and activities of the business from the conceptual to procedural level and prepared Business Workflow models.
  • Perform GAP analysis and documented the existing AS-IS process in comparison to the required TO BE process.
  • Create project plans, style sheets, and templates to analyze and estimate feasibility, cost, time, and general guidelines for the project team.
Qualifications
  • Bachelor's degree or higher in scientific majors, Computer science, Information systems, Business Analysis, or related field.
  • Strong analytical, critical thinking and problem-solving skills.
  • Excellent written and verbal communication.
  • Team player able to defend ideas while adaptable to new or differing opinions.
Additional Information

Describe your perks and culture