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Python Data Scientist Jobs in Texas (NOW HIRING)

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Citizenship required . * 9+ years of relevant experience in data science, data engineering ... Strong experience with Python (data manipulation, scripting, analytics) * Experience working with ...

As a Data Scientist in IG Labs, you will utilize your analytic and methodological skills and use ... The Python scripts will use supervised and unsupervised ML (both text and image-based machine ...

Data Scientist with Python Location: Dallas, TX below. Data Science Skills * Deploy and maintain knowledge ingestion pipelines and integration into API-based services. * Strong knowledge of data ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Strong programming skills in Python; experience with Machine Learning libraries and Generative AI ...

Data Scientist Location: Irving, TX- 3 days in office. Duration: 6-12 months Detail Bachelor ... Proficiency in training and deploying data models Proficiency in Python and experience with ...

Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. * Collaborate with data scientists to translate models into production ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

DATA SCIENTIST W2 Candidates only Addison, TX/ Chandler, AZ/ Kennesaw, GA Years of Experience ... At least 5 years Python (or equivalent) programming experience to work with ML/NLP models.

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Proficiency in Python (clean, modular, well-documented code) * Experience with data visualization ...

Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset * MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or ...

As a Data Scientist , you will be responsible for assisting our clients envision, design, develop ... Strong programming skills in Python or PySpark. * Solid understanding of supervised + unsupervised ...

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Python Data Scientist information

See Texas salary details

$34.9K

$114.3K

$183.1K

How much do python data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for python data scientist in Texas is $114,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,800.00 and $126,700.00 per year, depending on experience, location, and employer.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
What cities in Texas are hiring for Python Data Scientist jobs? Cities in Texas with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Texas 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 $114,350 per year, or $55 per hour.

Python Data Engineer

Vitol

Houston, TX • On-site

Full-time

Re-posted 5 days ago


Job description

Job Summary:
Vitol is a leader in energy and commodities, providing services globally. They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists.
Responsibilities:
• Write modular, reusable components to liaise between external sources of data, internal tools and databases
• Work with our business sponsors to drive out requirements for data ingestion and access
• Translate business requirements into technical deliveries
• Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
• Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
• Efficiently coordinate with the rest of our global team
• Participate in Vitol’s Python development community and act as a liaison for our growing business development efforts
Qualifications:
Required:
• 7+ years of enterprise-level coding experience with Python
• Computer Science, MIS or related degree
• Experience with Data Engineering and building data pipelines
• Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
• Oracle / PL SQL development experience including stored procedures
• Strong understanding of object-oriented design, design patterns, SOA architectures
• Past experience working in an Agile/Scrum environment
• Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
• Familiarity with Pandas and NumPy packages
• Strong communication skills (written and verbal)
Preferred:
• Commodities/Energy Industry experience desired
• Familiarity with containerization solutions like Docker and Kubernetes is a plus
Company:
The Vitol Group is an energy and commodity trading company involved in exploration, production, refining, terminals, trading, marketing. Founded in 1966, the company is headquartered in New York, USA, with a team of 1001-5000 employees. The company is currently Late Stage.