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Python Data Science Jobs in Dallas, TX (NOW HIRING)

Gen AI developer

Irving, TX · On-site

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

The ideal candidate will have strong expertise in Data Science, Machine Learning, Python, SQL, cloud technologies, data architecture, and MLOps, with the ability to translate complex business and ...

As a Data Scientist II, you will work across functional areas to support the application of data ... Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical ...

Role: Data Scientist Engineer Location: Dallas, TX Contract: 12-24 Months What You Will Do ... Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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Python Data Science information

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How much do python data science jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for python data science in Dallas, TX is $58.24, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $66.15 per hour, depending on experience, location, and employer.

What is a Python data science?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

What does a Python data science do?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

What are the key skills and qualifications needed to thrive in the Python data science position?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

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. Salary levels also vary based on certifications and the complexity of projects handled.

Is Python useful for data science?

Python is a widely used programming language in data science, valued for its simplicity and extensive libraries such as Pandas, NumPy, and scikit-learn. Data scientists and analysts often use Python for data manipulation, analysis, and machine learning tasks, making it a key skill in the field.

Which Python Data Science job is in demand?

Data Scientist and Machine Learning Engineer roles are currently in high demand in Python Data Science, especially those with skills in libraries like Pandas, NumPy, and scikit-learn, and experience with cloud platforms. These positions often require strong analytical skills, programming proficiency, and knowledge of statistical modeling or deep learning.

What are the most commonly searched types of Python Data Science jobs in Dallas, TX?

The most popular types of Python Data Science jobs in Dallas, TX are:

What are popular job titles related to Python Data Science jobs in Dallas, TX?

For Python Data Science jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Python Data Science jobs in Dallas, TX look for?

The top searched job categories for Python Data Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Python Data Science jobs?

Cities near Dallas, TX with the most Python Data Science job openings:

Infographic showing various Python Data Science job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Need Data Scientist

Richardson, TX • On-site

SRS Consulting Inc
IT Services • 51 - 200 employees

Other

Posted 4 days ago


Job description

Job Title : Data Scientist Location : San Jose , CA / TX / NC / WA (Onsite Hybrid)

8-12 Years required

Job Summary
A Data Scientist analyzes complex data sets to derive actionable insights and build predictive models This role involves data cleaning statistical analysis machine learning and communicating findings to stakeholders The ideal candidate will have strong programming skills expertise in data visualization excellent analytical abilities and familiarity with clients standards and processes

Key Responsibilities
Utilize standard libraries and frameworks for data manipulation analysis and modeling
Conduct statistical analysis to extract insights and identify patterns in large datasets
Perform data mining techniques to discover actionable insights from structured and unstructured data
Design and implement statistical models for predictive analytics and forecasting
Develop and implement machine learning algorithms for predictive modeling and analysis
Utilize big data technologies such as Hadoop Apache Spark Hive and Snowflake for distributed storage and processing
Apply natural language processing techniques for text mining and sentiment analysis
Create data visualizations to communicate findings and insights to stakeholders using tools like Tableau and Matplotlib
Drive the design development and optimization of AIML frameworks
Collaborate with crossfunctional teams to understand business needs and translate them into datadriven solutions
Build and maintain ETL Extract Transform Load processes to ensure data quality and integrity
Optimize data infrastructure for performance scalability and costefficiency
Automate repetitive datarelated tasks to enhance efficiency
Stay updated on AI model interpretability advanced machine learning techniques and domainspecific knowledge
Leverage AI tools and generative AI to automate routine tasks and focus on strategic analysis
Adhere to clients internal standards policies and processes to ensure compliance and alignment with organizational goals
Demonstrate awareness of clients data privacy security policies and ethical guidelines in handling data and analytics projects
Engage with clients collaborative culture and leverage internal resources and frameworks to drive project success

Required Technical Skills
Programming languages Python including libraries such as Pandas NumPy Scikitlearn TensorFlow R and Scala
Big data technologies preferred Apache Spark Hadoop Hive Snowflake Azure Databricks
Natural language processing NLP techniques and tools
Statistical modeling and predictive analytics
Experience with cloud platforms and data lakes
Familiarity with AI ethics responsible AI practices and AI literacy
Knowledge of prompt engineering and generative AI applications
Ability to use AIpowered tools to enhance productivity and automate data workflows

Desired Attributes
Curiosity and a problemsolving mindset
Ability to explain complex models in plain English
A portfolio demonstrating practical experience with realworld data science projects
Willingness to leverage AI tools to automate routine tasks and focus on strategic analysis
Strong communication skills to effectively convey insights to nontechnical stakeholders
Adaptability to evolving AI technologies and continuous learning mindset

Skills
Mandatory Skills : PySpark-Data Science, Python - Data Science