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Entry Level Python Data Science Jobs in Houston, TX

Trafigura Group Pte. Ltd.

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 ...

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/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 ...

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... science, or a related technical discipline. * Experience with a programming language such as Python ...

Fervo Energy

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable ...

Fervo Energy Company

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business ... Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable ...

Dlapiper

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure ... Bachelor's Degree in Computer Science, Engineering, or related field. Minimum Years of Experience ...

Recruit Monitor

Data Analyst

Houston, TX

Partner with Engineering, Data Science, and other teams to identify and use the data needed to ... Proficiency in either SQL, Python, or R conducting complex analyses on large datasets * Working ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.

Crowe LLP

Machine Learning Intern

The Woodlands, TX

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ...

Crowe LLP

Machine Learning Intern

The Woodlands, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ...

Crowe LLP

Machine Learning Intern

Houston, TX

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ...

Crowe LLP

Machine Learning Intern

Houston, TX · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... high quality Python (readable, reusable, modular, and well-abstracted code) Using Linux, the ...

Cisco

Applied AI Scientist

Houston, TX · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... of experience in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * 1+ year ...

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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 Engineer

Trafigura Group Pte. Ltd.

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted yesterday

Job description

At the heart of global supply, Trafigura connects vital resources to power and build the world. Through our Oil & Petroleum Products, Gas and Power, and Metals and Minerals, commercial divisions, we use infrastructure, logistics and financing to connect producers and consumers, using our deep understanding of the markets we serve to make supply more efficient, secure and sustainable.
We are committed to responsible business practices and believe that the supply of energy and raw materials is essential for growth, development and prosperity. We are accelerating our investments in renewable energy, including hydrogen, ammonia and other low-carbon energy technologies required for the transition to a low carbon future. And we work with our stakeholders to improve environmental and social standards, bringing greater trust and transparency to global supply chains.
A career at Trafigura offers a gateway to working on some of the most exciting challenges of a rapidly changing world - from helping to optimise supply chains to developing infrastructure and new markets. In a culture that is founded on openness and energy, our people work as part of a multinational, globally connected team and thrive in a fast-paced environment where they can nurture and commercialise bold ideas. Everyone has a voice and is empowered to collaborate across geographies and disciplines to help shape our business and the wider world. We know the importance and value of diversity in our business and we invest in attracting, developing and retaining talent from all backgrounds.
Founded in 1993, Trafigura is one of the largest independent employee-owned commodities groups in the world with over 13,000 people working in 48 countries. The Trafigura Group owns global multi-metals producer Nyrstar; fuel storage and distribution company Puma Energy; and joint ventures Impala Terminals, a port and logistics provider, and Nala Renewables, investing in wind, solar and battery storage projects.
Main purpose
The Data Engineer will be responsible for building and maintaining the data integration infrastructure that underpins Trafigura's North American Gas and Power trading desk. Working within the Data Science and Engineering team, this role ensures that critical data flows reliably and on time across internal and external systems, directly enabling commercial decision-making and process automation.
Key responsibilities
  • Design, build, and maintain time-critical data integration pipelines (ETL/ELT) across a range of internal and external data sources.
  • Develop and maintain data models appropriate to the variety of datasets flowing through the integration layer.
  • Implement and manage cloud-based data integration solutions on AWS, leveraging services such as S3, Glue, Lambda, and Redshift.
  • Monitor, troubleshoot, and optimise existing pipelines to ensure reliability, performance, and data quality.
  • Contribute to the automation of data workflows on the trading desk, reducing manual intervention and operational risk.
  • Develop a solid understanding of the desk's data landscape and commercial requirements in order to deliver integration solutions that meet business needs.

Required qualifications
  • Minimum 3 years' experience in Python and SQL, with a focus on data integration or pipeline development, including experience with relational databases and data modelling.
  • Hands-on experience with cloud data services (e.g. AWS, Azure, or GCP), containerisation (e.g. Docker, Kubernetes), and Infrastructure as Code (e.g. Terraform, CloudFormation).
  • Experience monitoring, observing, and debugging data pipelines, including the use of logging, alerting, and observability tooling (e.g. CloudWatch, Grafana).
  • Proficient in the use of AI assistant tools to support and accelerate development workflows (e.g. GitHub Copilot, Claude, or equivalent).
  • Bachelor's degree in Computer Science, Data Science, or a related STEM field.

Preferred qualifications
  • AWS certifications (e.g. AWS Certified Data Engineer, Solutions Architect).
  • Experience with NoSQL databases.
  • Familiarity with streaming or event-driven data integration patterns.
  • Prior exposure to Gas and/or Power trading environments.

Attributes for success
  • Detail-oriented with a strong sense of ownership over data quality and pipeline reliability.
  • Clear communicator, able to engage both technical and commercial stakeholders.
  • Comfortable working under pressure in a time-sensitive trading environment.
  • Proactive and eager to develop a deep understanding of the business context behind the data.

Department overview
The Data Science and Engineering team researches, develops, and delivers sophisticated analytics, data services, and applications to Trafigura's trading business and broader commercial operations. The team supports Trafigura's North American Gas and Power desk, which manages both physical and derivative portfolios and is heavily dependent on timely, high-quality data integration to support trading activity and process automation. The successful candidate will work closely with traders and commercial stakeholders, building expertise in the desk's data ecosystem while taking ownership of critical integration pipelines and workflows.
Equal opportunity employer
We are an Equal Opportunity Employer and take pride in a diverse workforce! We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.

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