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Entry Level Data Science Jobs in Texas (NOW HIRING)

Abbott

Business Analyst - A

Irving, TX · On-site

Irving, TX Duration: 12 Months 100% Onsite Summary This entry level Business Analyst role is designed for a recent graduate with a Data Science or analytics background and is ideal for candidates ...

Infosys

Associate - Campus

Austin, TX · On-site

This entry-level position is designed for recent graduates and involves structured training and ... • Data Science • Computer Engineering • or other related fields Company : Infosys is a ...

Nebius

SDR, Tavily

Austin, TX

AI engineers, data science teams, and product leaders building agentic systems to identify where ... entry-level candidates). * You are in Austin and excited about an in-person office environment ...

Actalent

Entry Level Recruiter | Sales Trainee

Austin, TX · On-site

$195K/yr

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 ...

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

As of Jul 23, 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.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist 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, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,921 per year, or $17.8 per hour.
Business Analyst - A

Business Analyst - A

Abbott

Irving, TX • On-site

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago

Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

158th of 535 rated manufacturers

Job description

Title: Business Analyst - A
Location: Irving, TX
Duration: 12 Months
100% Onsite
Summary
This entry level Business Analyst role is designed for a recent graduate with a Data Science or analytics background and is ideal for candidates with 0-1 years of experience, including internships, and co-ops. The role blends business analysis and data reporting, with an emphasis on data-driven insights and additional exposure to a variety of activities.
In this role, you will assist with identifing automation opportunities, supporting the maintenance of global systems applications and SharePoint sites, and Power BI reporting for the service user community. You will also contribute to project-related tasks, requiring strong organization and communication skills, while working closely with cross-functional teams to support reporting needs, improve processes, and contribute to ongoing system enhancements.
This is an on-site contract position supporting reporting, analytics, and systems initiatives within the Global Service Systems team, and offers strong learning opportunities and exposure to real-world business and technical challenges in a regulated environment.
What You'll Work On:
You will participate in a team-oriented environment to contribute to the definition and development of user interfaces, business rules, and data management applications. The job function includes receiving guidance and mentorship from senior team members as well as sharing new perspectives and ideas with experienced team members.
  • Assist with supporting and maintaining the systems and applications driving the service organization.
  • Document and identify opportunities for automation of existing activities and processes
  • Create or assist with reports and dashboards in Power BI or other visualization tools to support business and operational reporting.
  • Perform basic data validation, cleansing, and reconciliation to ensure reporting accuracy and ensure compliance with data governance, privacy, and security policies.
  • Document report logic, data definitions, business rules, and process flows.
  • Support continuous improvement initiatives by revealing trends and opportunities through data analysis and visualization.
  • Partner with business stakeholders and technical teams to translate requirements into reporting or system enhancements.
  • Participate in user acceptance testing for system updates, reports, or enhancements.
  • Drive ongoing improvements to dashboards, reporting layouts, and system interactions to enhance user experience.

Education and Experience You'll Bring:
Education and Core Skills
  • B.S. in Computer Science, Data Science, Statistics, Mathematics, or a related analytical field is required.
  • Foundational knowledge of data analysis, statistics, and reporting concepts.
  • Basic understanding of business analysis concepts such as requirements gathering and process mapping.
  • Excellent communication (written and verbal) skills are essential.
  • Able to collaborate and coordinate activities with other team members on ongoing projects.
  • Willingness to learn new tools, data sources, and business processes.

Minimum Technical Skills
  • Use of Power BI or similar business intelligence tools including datasets, visuals, basic DAX calculations.
  • Basic knowledge of SQL for data querying.
  • Familiarity with Excel for reporting and data analysis
  • Exposure to Software Development Lifecycle (SDLC), change management, and testing methodologies.
  • Exposure to Power Automate or other automation tools.
  • Understanding of KPIs, metrics, and performance reporting.

Preferred Qualifications
  • Exposure to data validation, data modeling, and reporting best practices.
  • Strong analytical and problem-solving skills.
  • Attention to detail and commitment to data accuracy.
  • Ability to communicate insights clearly through reports and dashboards.
  • Familiarity with modern software architecture and design patterns.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Ability to interact effectively with all levels of employees
  • Hands-on experience with enterprise-scale data and reporting systems.
  • Exposure to global service operations.
  • Experience in a regulated environment.
  • Opportunity to develop technical and business skills.
  • Mentorship from experienced team members.

Consultants Eligible Benefits Upon Waiting Period:
  • Medical and Prescription Drug Plans
  • Dental Plan
  • Vision Plan
  • Health Savings Account (for High-Deductible Health Plans)
  • Flexible Spending Accounts (Health, Limited Purpose, Dependent Care, Commuter Parking and Commuter Transit)
  • Supplemental Life Insurance
  • Short Term Disability (coverage varies by state)
  • Long Term Disability
  • Critical Illness, Hospital coverage, Accident Insurance
  • MetLife Legal, MetLife ID Fraud, and MetLife Pet Insurance
  • 401(k)

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines.
Working together, Abbott and Talent Solutions partner to deliver top talent for contingent roles at Abbott, building better and healthier lives. Abbott believes all employees are essential to creating life-changing breakthroughs, performing key duties to create life-changing breakthroughs.
  • Published on 16 Jun 2026, 8:05 PM

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