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

JPMorganChase

Data Owner Senior Associate

Plano, TX · On-site

$15.50 - $20/hr

Required : • Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science). • 5+ years' experience in creating predictive models, and generative AI ...

Actalent

Data Entry Pharmacy Technician

Irving, TX

$22/hr

Pharmacy Technician - Data Entry North Fort Worth, TX | Contract-to-Hire | No Weekends & Hybrid ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Actalent

Data Entry Pharmacy Technician

Irving, TX · On-site

$22/hr

Pharmacy Technician - Data Entry North Fort Worth, TX | Contract-to-Hire | No Weekends & Hybrid ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Caris Life Sciences

Data Intake Associate - Hybrid

Irving, TX · On-site

$14.75 - $19.25/hr

Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if ... data entry, document management and requesting necessary patient medical records to aid our ...

DSV A/S

Tender Specialist, Data Management

Lancaster, TX · On-site

$65K - $75K/yr

Bachelor's degree in marketing, business, data science, logistics, or a related field. * Minimum of ... Experience querying internal databases and managing data entry integrity. At Will Employment DSV ...

PSA BDP

Entry Writer-updated

Colleyville, TX · On-site

... sciences & pharmaceuticals, and electric vehicle & industrial verticals. JOB SUMMARY: Prepares and ... Working with Coordinator/Documentation in terms of System data entry and checking * Invoice ...

Range Resources

Sr Data Engineer

Fort Worth, TX · Hybrid

$109K - $131K/yr

Data engineers collaborate closely with data scientists, analysts, and business stakeholders to ... Entry, Filing, Holding up to 20lbs, Lifting up to 20lbs, Pushing and/or Pulling up to 20lbs ...

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Data Science Entry information

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$27

How much do data science entry jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data science entry in Irving, TX is $18.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $21.01 per hour, depending on experience, location, and employer.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring foundational skills in programming, statistics, and data analysis tools like Python or R. These roles typically serve as starting points for careers in data science and may require relevant internships, coursework, or certifications.

What types of projects do entry-level data scientists work on?

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 is an entry-level data scientist?

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.

What skills and qualifications are needed to thrive as an entry-level data scientist?

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 it possible to get a data science entry-level job with no experience?

Data science entry-level positions often require some foundational skills in programming, statistics, and data analysis, but many employers consider candidates with relevant coursework, certifications, or personal projects even without formal work experience. Building a portfolio with projects using tools like Python, R, or SQL can improve chances of securing such roles. Internships and apprenticeships also provide pathways for those new to the field.
What cities near Irving, TX are hiring for Data Science Entry jobs? Cities near Irving, TX with the most Data Science Entry job openings:
Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $38,894 per year, or $18.7 per hour.

Data Owner Senior Associate

JPMorganChase

Plano, TX • On-site

$15.50 - $20/hr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm dedicated to helping customers achieve their financial goals. The Data Owner Senior Associate role involves leveraging artificial intelligence and machine learning to prepare data for AI-ready applications, collaborating with various teams to optimize data solutions and build predictive models.
Responsibilities:
• Use your programming skills in Python and design integrated solutions for AI-readiness of data. Leverage python libraries, LLMs, and vendor solutions to enable seamless integration of AIML models with business data needs.
• Design and demonstrate POCs for making structured and unstructured data AI-ready. Build and iterate on prototype solutions.
• Partner with subject matter experts and help deliver solutions that optimize the data for AIML solutions.
• Closely collaborate with Engineering and Data Science to productionalize your POCs.
• Analyze diverse data assets and sources to prioritize, developing insights that lead to actionable recommendations for sequencing.
Qualifications:
Required:
• Degree in quantitative discipline (e.g., Computer Science, Mathematics, Operations Research, Data Science).
• 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering, Retrieval Augmented Generation (RAG).
• Strong Proficiency in Python.
• Hands-on experience with LLM APIs, Python libraries like Pandas, NumPy, scikit-learn, and others for data manipulation, modeling and analysis.
• Proficiency with data table operations (SQL, etc.).
• Experience designing, building and maintaining ETL data pipelines using tools such as SQL, Python, and Alteryx.
• Experience with evaluation metrics for ML and generative AI, and with building monitoring dashboards.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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