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Python Data Scientist Jobs in Texas (NOW HIRING)

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.

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 ...

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 ...

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 ...

... g., R, Python, Hadoop etc.) Preferred : • A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational ...

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

The data scientist will also be responsible with sharing best practices and trainings to the rest ... Use code (Python or R) to solve problems with guidance from business leaders * Build and test ...

New

The data scientist will also be responsible with sharing best practices and trainings to the rest ... Use code (Python or R) to solve problems with guidance from business leaders * Build and test ...

New

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 ...

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 ...

Python, R, or SAS Other Things We Look For: * Familiarity with experimental design concepts for ... data science solutions in a regulatory environment (including but not limited to insurance, healt ...

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine ... Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics ...

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

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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 Jul 17, 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 typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,350 per year, or $55 per hour.
Data Scientist

Full-time

Posted 5 days ago


Job description

Location: San Antonio, TX / Plano, TX - onsite
Duration: 6 months
GBaMS ReqID: 10583538
Data Scientists
Programming: Proficiency in Python, R, and SQL.
Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.
Core Roles and Responsibilities
Data Collection and Preparation: Gathering unstructured and structured data from multiple sources, then cleaning and preprocessing it to ensure data quality and usability.
Exploratory Data Analysis (EDA): Analyzing data to uncover hidden patterns, correlations, and trends.
Modeling and Machine Learning: Developing algorithms, designing predictive models, and training them on historical data for tasks like classification, regression, and optimization.
Data Visualization and Reporting: Using tools (e.g., Tableau, Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.
Collaboration and Strategy: Working with business leaders to identify goals, define problems, and suggest data-driven improvements.
Model Maintenance: Testing, validating, and updating models to ensure accuracy and relevance over time.
+8
Communication: Ability to translate complex data insights into clear business strategies
Role Descriptions: Core Roles and ResponsibilitiesData Collection and Preparation Gathering unstructured and structured data from multiple sources| then cleaning and preprocessing it to ensure data quality and usability.Exploratory Data Analysis (EDA) Analyzing data to uncover hidden patterns| correlations| and trends.Modeling and Machine Learning Developing algorithms| designing predictive models| and training them on historical data for tasks like classification| regression| and optimization.Data Visualization and Reporting Using tools (e.g.| Tableau| Power BI) to create reports and charts that communicate technical findings to non-technical stakeholders.Collaboration and Strategy Working with business leaders to identify goals| define problems| and suggest data-driven improvements.Model Maintenance Testing| validating| and updating models to ensure accuracy and relevance over time. 8
Essential Skills: Programming Proficiency in Python| R| and SQL.MathematicsStatistics Strong understanding of statistical techniques| probability| and linear algebra.Machine Learning Knowledge of algorithms and libraries like Scikit-learn| TensorFlow| or PyTorch.
Desirable Skills:
Keyword:
Skills: Digital : Data Science~Digital : Python for Data Science
Experience Required: 8-10