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Python Data Scientist Jobs in Texas (NOW HIRING)

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 ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Experience - Advanced experience in data science, machine learning, AI, or optimization projects. - Proficiency in Python and SQL. - Strong understanding of statistical methods, experimental design ...

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 ...

Atleast 5 years python (or equivalent) programming experience to work with ML/NLP models ... Data scientist, Secondary skills: Artificial intelligence/Machine learning.

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Proficiency in Python or R for data analysis. * Experience with SQL and working with relational ...

Overview SOSi is seeking a Data Scientist to join our team. In this role, you will leverage ... Proficiency in Python or R for data analysis. * Experience with SQL and working with relational ...

Data Scientist Duration : Contract Location : Austin, TX Responsibilities : Operations ... Spark(Python or Scala), Hadoop and Hive primarily - Should have ability to build and manipulate ...

Proficiency in Python and SQL. * Knowledge of data science toolkits such as NumPy, Pandas and MatLab. * Experience with Azure and Databricks platforms. * Ability to work closely with team throughout ...

Data Scientist

Irving, TX · On-site

$65 - $70/hr

Basic Qualifications: - 2+ years of experience in statistical data science, feature engineering, and customer segmentation. - 2+ years of hands-on experience with Python, SQL, and PySpark. - 2+ years ...

Proficiency in Python and SQL. * Knowledge of data science toolkits such as NumPy, Pandas and MatLab. * Experience with Azure and Databricks platforms. * Ability to work closely with team throughout ...

Job Summary : Alpha Consulting Corp. is seeking a highly skilled Senior Data Scientist with ... such as Python, SQL, or R • Prior work experience at client or in client's Industry • ...

New

Data Scientist Location: San Antonio, TX Full-Time About the Role We are seeking an experienced ... Proficiency in Python/R, SQL, Spark or Hadoop * * U.S. Citizenship required * Experience with data ...

Data Scientist

Houston, TX

$12.30K - $78.40K/yr

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal ... Java/Python, SAS) * Ability to work effectively in a dynamic, research-oriented group that has ...

Build scalable analytical pipelines using Python and SQL. * Query and analyze large datasets within ... data science. * Strong proficiency in Python for statistical analysis and modeling. * Strong ...

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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 Jun 1, 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 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 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.

Is data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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 cities in Texas are hiring for Python Data Scientist jobs? Cities in Texas with the most Python Data Scientist job openings:

Data Scientist

Beth Page tech

Houston, TX • On-site

Contractor

Posted 6 days ago


Job description

Job Title: Data Scientist

Location: Houston, TX (Fulltime)

Environment: Standard, 5-days onsite

Job Description :

Must-Have (Technical Expertise & Core Responsibilities)

  • Data Science & Machine Learning:
    • Strong foundation in mathematics, statistics, and machine learning
    • Experience with exploring and extracting insights from multi-dimensional datasets
    • Proficiency in Python (clean, modular, well-documented code)
    • Experience with data visualization tools (D3.js, Bokeh, Plotly, or similar)
  • Domain Knowledge:
    • Ability to understand commodity trading/energy sector datasets and business needs
    • Experience translating complex models into actionable commercial insights

Core Responsibilities:

  • Develop and implement machine learning models to transform energy trading operations
  • Lead Proof of Concept (PoC) projects including:
    • Automated information extraction from unstructured data
    • Refinery outage prediction
    • Shipping cost forecasting
    • Gas network disruption analysis
  • Create data visualizations for both technical and non-technical stakeholders
  • Collaborate with domain experts to design user-friendly ML solutions
  • Work with Data Science and IT teams to leverage existing tools for business value

Qualifications & Skills:

  • Master's/PhD in Computer Science, Data Science, or equivalent experience
  • 4-7 years of industry experience working with real-world datasets
  • Experience with Agile Scrum development methodology
  • C# development experience (plus)

Nice-to-Have (Preferred Experience):

  • Background in commodity trading, energy markets, or financial services
  • Experience with big data technologies and cloud platforms
  • Knowledge of optimization techniques for business applications