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Entry Level Python Data Science Jobs in Houston, TX

Macdillions Global Energy

Python Developer

Houston, TX · On-site

$90 - $120/hr

... data science and manufacturing, Nabors aims to innovate the future of energy and enable the ... Job Summary Nabors is seeking a Python Developer for the controls and automation team platform team.

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H-GAC

Data Analyst

Houston, TX

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Experience in data engineering, software engineering, data analytics, computer science, or a related technical discipline. * Experience in programming languages such as Python, Java, or SQL.

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Experience in data engineering, software engineering, data analytics, computer science, or a STEM related technical discipline. * Foundational knowledge of programming languages such as Python, Java ...

Foxconn Assembly LLC

Data Analyst

Houston, TX · On-site

Responsibilities: * 10%, Analyze datasets using SQL, Cicada and Python. * 60%, Design, create ... Bachelor's degree in Data Analytics, Data Science, Information Systems or related fields. * Any ...

Houston Galveston Area Council

Data Analyst

Houston, TX · On-site

$60K - $75K/yr

Apply advanced knowledge in economics, statistics, and data science to develop forecasting models ... Develop and maintain land use forecasting models using SAS and Python, incorporating time-series ...

Trafigura

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working within the Data Science and Engineering team, this role ensures that critical data flows ... Minimum 3 years' experience in Python and SQL, with a focus on data integration or pipeline ...

Ports North

Data Analyst

Houston, TX · On-site

$65 - $95/hr

Bachelor's degree in a relevant field (e.g., Data Science, Business, Computer Science ... Experience with Python for data analysis or automation. * Familiarity with Power BI or other data ...

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

As of Aug 20, 2026, the average hourly pay for entry level python data science in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Houston, TX?

For Entry Level Python Data Science jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Houston, TX look for?

The top searched job categories for Entry Level Python Data Science jobs in Houston, TX are:

What cities near Houston, TX are hiring for Entry Level Python Data Science jobs?

Cities near Houston, TX with the most Entry Level Python Data Science job openings:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

Data Scientist

Hewlett Packard Enterprise Development LP

Spring, TX • On-site

Full-time

Re-posted 18 days ago

Job description

Data Scientist
This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
Job Family Definition:
Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights).
Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems.
Management Level Definition:
Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.
Responsibilities:
  • Participates in the analysis and validation of data sets/solutions/user experience.
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
  • Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
  • Supports the research, identification and delivery of data science solutions to problems.
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model.

Education and Experience Required:
  • Bachelor's degree in Statistics, Operations Research, Computer Science or equivalent.

Knowledge and Skills:
  • Basic knowledge of data science methodologies.
  • Basic understanding of business requirements and data science objectives.
  • Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python).
  • Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend).
  • Basic communication and presentation skills.
  • Basic data knowledge of relevant data programming languages.
  • Basic knowledge of data visualization techniques.

What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
#unitedstates
#operations
Job:
Engineering
Job Level:
TCP_01
"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 71,500 - 164,400 in Texas
The listed salary range reflects base salary. Variable incentives may also be offered."
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

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