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Python Data Scientist Jobs in Texas (NOW HIRING)

Data Scientist Location: Houston, TX Duration: Long term Skills ... Python,PyTorch ,SQL, Scala, Java, Data Analysis, Data Visualization, Pandas, NumPy, , Tableau ...

Strong proficiency in Python, including experience with common data science libraries such as pandas, NumPy, scikit-learn, SciPy, and visualization libraries. * Proficiency writing and interpreting ...

Data Scientist

Spring, TX · On-site

$71.50 - $164.40/hr

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily ... R, SAS, SPSS, Python). * Basic knowledge of machine learning, data integration, and modeling skills ...

New

Build production-quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization * Partner with product managers, data ...

Senior Data Scientist Houston, TX Description: We are looking for a candidate with the ability to ... stack we work with includes Python, Databricks, GIT, Azure, SQL. * Integrating models into ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

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 ...

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 ...

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Required : • 2-5 years' experience in a data scientist or data analytics role. • 2-5 of ... SAS, and/or Python). • Strong quantitative skills. • Experience in applying advanced ...

Lead Data Scientist Job Location (Short): Houston, Texas-USA | Madison, Alabama-USA | Roanoke ... Write production-quality Python code for data processing, feature engineering, API development ...

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Experience using C, C++, Java, JavaScript, Python, R, SQL * Expertise in areas such as formation ... D. in applied mathematics, Data Science or Physics Knowledge, Skills & Abilities REQUIRED

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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.

Sr Data Scientist

Virtual Networx

Houston, TX • On-site

Other

Posted 9 days ago


Job description

Job Title: Data Scientist

Location: Houston, TX

Duration: Long term

Skills: Python,PyTorch ,SQL, Scala, Java, Data Analysis, Data Visualization, Pandas, NumPy, , Tableau, Power BI,EDA,

Responsibilities

  • Collect, clean, and analyze large datasets.
  • Build predictive and machine learning models.
  • Perform exploratory data analysis (EDA) to identify trends and insights.
  • Develop statistical models to solve business problems.
  • Create dashboards and visualizations for stakeholders.
  • Validate, monitor, and improve model performance.
  • Collaborate with data engineers, analysts, and business teams.
  • Present findings and recommendations to technical and non-technical audiences.
  • Automate data processing and model deployment workflows.
  • Stay current with new AI, ML, and data science technologies.

Skills :

  • Python (Pandas, NumPy, Scikit-learn)
  • SQL for data extraction and analysis
  • Statistics and Probability
  • Machine Learning (Supervised & Unsupervised Learning)
  • Data Cleaning and Feature Engineering
  • Data Visualization (Tableau, Power BI, Matplotlib, Seaborn)
  • Exploratory Data Analysis (EDA)
  • Predictive Modeling
  • Model Evaluation and Validation
  • Deep Learning (TensorFlow or PyTorch) preferred
  • Version Control (Git)
  • Cloud platforms (AWS, Azure, or Google Cloud)

Preferred Skills

  • NLP (Natural Language Processing)
  • Large Language Models (LLMs)
  • Generative AI
  • Apache Spark or Databricks
  • MLOps (MLflow, Kubeflow)
  • Docker and Kubernetes
  • Big Data technologies (Hadoop, Hive)
  • A/B Testing and Experimentation
  • Time Series Forecasting
  • Recommendation Systems