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

AI Analyst I

Spring, TX ยท On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics. The position will work under the ...

AI Analyst I

Spring, TX ยท On-site

This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics. The position will work under the ...

2025-2026 Earth Scientist Full Time

Houston, TX ยท On-site

$108K - $140K/yr

For the 2025-2026 recruiting season, Chevron is accepting online applications for entry-level Earth ... Practical experience with geoscience coding, data science, and/or machine learning. These positions ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Every employee begins as an entry level analyst to develop and progress understanding of required ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Every employee begins as an entry level analyst to develop and progress understanding of required ...

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Every employee begins as an entry level analyst to develop and progress understanding of required ...

Data Protection Sr. Analyst

Houston, TX ยท Hybrid

$84.80K - $100.70K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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 ...

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 ...

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 ...

... scientists, digital innovators, program and construction managers and other professionals ... Collects and analyzes data under the supervision of an experienced engineer. * Uses computer ...

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Entry Level Data Science information

See Spring, TX salary details

$9

$16

$23

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

As of May 31, 2026, the average hourly pay for entry level data science in Spring, TX is $16.95, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $19.04 per hour, depending on experience, location, and employer.

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 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 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 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 Spring, TX? The most popular types of Data Science jobs in Spring, TX are:
What are popular job titles related to Entry Level Data Science jobs in Spring, TX? For Entry Level Data Science jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Spring, TX look for? The top searched job categories for Entry Level Data Science jobs in Spring, TX are:
What cities near Spring, TX are hiring for Entry Level Data Science jobs? Cities near Spring, TX with the most Entry Level Data Science job openings:
AI Analyst I

AI Analyst I

Strike

Spring, TX โ€ข On-site

Full-time

Posted 9 days ago


Job description

This is an onsite role based at our Spring, TX office!
Job Summary:

Strike is seeking a motivated and detail-oriented AI Analyst to support the development and implementation of AI and machine learning solutions. This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics.

The position will work under the guidance of senior team members and management to analyze data, assist with model development, and help translate business problems into data-driven insights. This role is based at Strikeโ€™s corporate headquarters in The Woodlands, TX and reports to the Business Intelligence Manager.

Key Responsibilities:

  • Assist in collecting, cleaning, and preparing data for analysis and modeling.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Support development and testing of machine learning models and AI solutions.
  • Help monitor model performance and report on accuracy and outcomes.
  • Create basic dashboards, reports, and visualizations to communicate insights.
  • Collaborate with team members to understand business requirements and translate them into analytical tasks.
  • Document processes, models, and results for internal use.
  • Stay current with AI tools, techniques, and best practices.
  • Assist in identifying opportunities for automation and AI-driven improvements.
  • Documents user manuals to describe operating procedures, and provide user training, as needed.
  • Works closely with the assigned project manager(s) and other project resource to deliver high quality solutions and process improvements.
  • Follows all approved Strike PMO and ITSM processes including the use of prescribed templates.

Skills:

  • Analytical thinking and problem solving.
  • Curiosity and eagerness to learn.
  • Time management and organization.
  • Collaboration and teamwork.
  • Ability to communicate effectively.
  • Ability to quickly learn new solutions, processes, and procedures.
  • Ability to understand business functionality and translate it into solution requirements.
  • Understanding of the various software development lifecycles (e.g. Agile, Waterfall, etc.).

Required Qualifications:

  • Bachelorโ€™s degree in Data Science, AI, Statistics, Mathematics, or a related field.
  • Basic proficiency in Python, R, or a similar programming language.
  • Familiarity with SQL and working with datasets.
  • Understanding of fundamental statistics and data analysis concepts.
  • Exposure to machine learning concepts (e.g., regression, classification, clustering).
  • Experience with Excel and/or data visualization tools (Power BI, etc.).
  • Strong attention to detail and willingness to learn.
  • Good written and verbal communication skills.

Preferred Qualifications:

  • Experience with ML libraries through coursework or projects.
  • Exposure to cloud platforms (Azure, AWS, or GCP).
  • Experience using Microsoftโ€™s Copilot suite.
  • Basic knowledge of data pipelines or ETL processes.
  • Familiarity with generative AI tools or APIs.
** Must have USA work authorization. Sponsorship not available**

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