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

NABORS

Drilling Performance Engineer

Houston, TX

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ... data entry and analysis. * Engage with customer in well planning and drilling performance ...

Vitol

Trade Settlements Analyst

Houston, TX · On-site

Responsible for the daily invoicing of trades and processing the entry of product and ancillary ... Coordinating with global Data Science team in the implementation and application of artificial ...

Vitol

Trade Settlements Analyst

Houston, TX

Responsible for the daily invoicing of trades and processing the entry of product and ancillary ... Coordinating with global Data Science team in the implementation and application of artificial ...

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All JobsData Science Entry JobsData Science Entry Jobs in Spring, TX

Data Science Entry information

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How much do data science entry jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data science entry in Spring, TX is $17.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.47 per hour, depending on experience, location, and employer.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

What are Data Science Entry jobs?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

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 solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
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Data Science Entry jobs near you
Engineering Analyst Job Details | Westinghouse Electric Company, LLC

Engineering Analyst Job Details | Westinghouse Electric Company, LLC

Westinghouse Electric Company

Houston, TX • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Westinghouse Electric Company is seeking an Engineering Analyst to support their mission of providing clean energy solutions. The role involves managing and analyzing asset data within IBM's Maximo Asset Management system, ensuring data integrity, and collaborating with various teams to improve operational efficiency.
Responsibilities:
• Gather and prepare data from multiple sources for upload, map source data to Maximo fields, perform quality checks, review drawings
• Troubleshoot data discrepancies. Validate and ensure data accuracy, completeness, and consistency within Maximo.
• Collaborate with teams to identify data needs, automate workflows, and streamline reporting processes.
• Extract, clean, and analyze data from the Maximo Asset Management system to support business objectives.
• Collaborate with site teams and Maximo users to gather required information and resolve any data-related issues, supporting both initial data loads and ongoing updates.
• Help troubleshoot and resolve Maximo-related data issues.
• Provide recommendations based on data trends and predictive analytics to improve preventive and corrective maintenance.
• Support system upgrades, configuration changes, and data migration programs for Maximo.
• Train users on automated data entry, reporting tools, and best practices for maintaining data quality.
• Maintain dashboards and reports for asset performance, maintenance activities, and compliance.
Qualifications:
Required:
• Experience working with IBM Maximo or similar Enterprise Asset Management (EAM) systems
• Have excellent written and verbal communication skills, demonstrate analytical, problem-solving, and critical thinking abilities
• Proficient in SQL, Microsoft Excel, and data visualization tools such as Power BI, they should also understand asset management processes, and reliability principles.
• Degree in Information Systems, Data Analytics, Computer Science, Business, or a related technical discipline, or alternatively 8+ years of equivalent experience.
Company:
Westinghouse Electric Company provides innovative and secure nuclear technology solutions. Founded in 1886, the company is headquartered in Cranberry, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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