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Python Data Scientist Jobs in Texas (NOW HIRING)

VC5 Consulting

Python Data Engineer

Houston, TX · On-site

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to ... Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and ...

Syndicus, Inc.

Data Scientist

San Antonio, TX · Hybrid

Data Scientist (Hybrid) ( 80007) Data Engineer San Antonio, TX, USMid-LevelFull-time Description We ... Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ...

Vitol

Python Data Engineer

Houston, TX · On-site

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 ...

Vitol

Python Data Engineer

Houston, TX · On-site

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 ...

Real Soft, Inc.

Data Scientist

San Antonio, TX · On-site

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

Marencor

Data Scientist with Python

Dallas, TX · On-site

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 ...

Cliff Services Inc

Data Scientist

Dallas, TX · On-site

Data Scientist Location: Dallas, TX Hybrid Role Summary Data Scientists bridge raw data and ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

Cliff Services Inc

Data Scientist

Frisco, TX · On-site

Data Scientist - JD & Tech Stack Location: Plano/Frisco, TX Hybrid In Person Interview Visa ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

Select Minds LLC

Data Scientist

Dallas, TX

$65 - $75/hr

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

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

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 ...

Apex Informatics

Data Scientist

Irving, TX · On-site

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 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · On-site

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 ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

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 ...

NTT DATA Americas, Inc

Data Scientist

Irving, TX · On-site

Data Scientist - Irving, TX - 26-01056 Hybrid, 3 days onsite weekly W2 only accepted, no c2c or ... using Python and/or R to analyze disparate datasets. Preferred Skills: • Master''s degree ...

Apex Informatics

Data Scientist

Addison, TX · On-site

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.

Beth Page tech

Data Scientist

Houston, TX · On-site

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 ...

Victory

Data Scientist

Austin, TX · On-site

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 ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Texas

Python Data Scientist information

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$34.9K

$114.3K

$183.1K

How much do python data scientist jobs pay per year?

As of Jun 23, 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.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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.
What are popular job titles related to Python Data Scientist jobs in Texas? For Python Data Scientist jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Texas look for? The top searched job categories for Python Data Scientist jobs in Texas are:
What cities in Texas are hiring for Python Data Scientist jobs? Cities in Texas with the most Python Data Scientist job openings:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Texas as of June 2026, with employment types broken down into 70% Full Time, 13% Part Time, 4% Temporary, and 13% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Python Data Engineer

Python Data Engineer

VC5 Consulting

Houston, TX • On-site

Other

Posted 20 days ago

Job description

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you will sit at the intersection of engineering and the business — working shoulder-to-shoulder with traders, researchers, analysts, and data scientists to define requirements and deliver production-grade data solutions. You will own the design and implementation of modular, reusable data ingestion pipelines, ensuring code quality and architectural consistency across a centralized codebase. This is a high-impact individual contributor role for an engineer who thrives in a fast-paced, collaborative environment and wants their work to have a measurable effect on real trading decisions.

Key Responsibilities:

  • Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and prioritize data requirements, translating complex business needs into functional, production-ready Python code.

  • Design, build, and maintain robust ETL and data ingestion pipelines using Python and Pandas, ensuring data accuracy, reliability, and performance at enterprise scale.

  • Write modular, reusable components for data interaction that conform to existing architecture patterns, coding conventions, and centralized codebase standards.

  • Coordinate efficiently with a globally distributed team of developers and business sponsors to deliver data solutions that span time zones and organizational boundaries.

  • Participate actively in the internal Python development community, acting as a technical liaison and working to standardize and consolidate core functionality within shared developer tooling.

  • Perform high-level technical troubleshooting across the data platform, diagnosing issues within a modular component architecture and driving them to resolution with minimal disruption to downstream consumers.

Requirements:

  • 6 to 15 years of professional, enterprise-level Python development experience — candidates must be able to demonstrate a strong tenure record at one or a small number of employers.

  • Deep, hands-on proficiency with the Pandas library for data manipulation, transformation, and pipeline development in a production environment.

  • Proven experience building and maintaining ETL and data ingestion pipelines at enterprise scale, with a track record of delivering clean, well-architected code.

  • Background in financial trading, commodities, oil and gas, or a large banking/financial services firm — this domain context is essential for working effectively alongside trading and research teams.

  • Demonstrated ability to gather technical requirements directly from non-engineering stakeholders such as traders, analysts, and researchers, and translate those needs into reliable technical solutions.

  • Strong collaborative instincts and the communication skills to work across global development teams, contributing to shared codebases and upholding engineering standards.

Role Details:

  • Employment Type: Direct Hire

  • Location: Houston, Texas 77098

If you are a Python Data Engineer with deep financial or energy trading domain experience and a passion for building data infrastructure that drives real business decisions, we encourage you to apply.


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