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Python Data Scientist Jobs in Texas (NOW HIRING)

AS TRADE LLC

Data Scientist

Dallas, TX · On-site

... Python for data analysis, feature engineering, statistical analysis, and basic machine learning ... science, analytics, data analysis, or related roles Strong SQL skills for querying, joining ...

Recru

Data Scientist

Houston, TX

Python, SQL, Scientific computing and data engineering workflows * Experience with modern ML frameworks and tools such as: * PyTorch, TensorFlow, Scikit-learn, XGBoost, Spark * Experience building ...

Mastech Digital

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 ...

Judge Group, Inc.

Data Scientist

San Antonio, TX · On-site

$130K - $150K/yr

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 ...

Innotech

Data Scientist

Houston, TX

$12K - $78K/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 ...

PROLIM Global Corporation

Data Scientist

Dallas, TX · On-site

Data Scientist Remote Contract JD: Python Fast API Engineer (ML + Risk Modeling) "Strong hands-on experience with Python and Fast API (building production REST services). Experience serving or ...

New

State Farm

Data Scientist

Richardson, TX · Hybrid

SAS, R, and/or Python Other Things We Look For: * Experience with cloud-based environments (e.g ... data science, quantitative marketing, operations research, industrial engineering, etc.

Berkley

Data Scientist

Houston, TX · On-site

Responsibilities The Data Scientist designs, builds, and delivers analytical solutions that support ... Build and refine data pipelines using SQL and Python. * Develop entity-matching methods, including ...

Berkley

Data Scientist

Houston, TX · On-site

Responsibilities The Data Scientist designs, builds, and delivers analytical solutions that support ... Build and refine data pipelines using SQL and Python. * Develop entity-matching methods, including ...

Toyota

Principal Data Scientist

Plano, TX · On-site

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 ...

MV Transportation

Data Scientist

Dallas, TX

Fabric Notebooks (Python / Spark) * Power BI semantic models for operational decision support ... Mentor data scientists, analysts, engineers, and operations staff to raise AI literacy across the ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Strong Python and SQL skills * Handson experience deploying models into production * Familiarity ...

MedReview

Data Scientist

Austin, TX · On-site

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 ...

Lantern

Data Scientist

Dallas, TX · On-site

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 ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Texas

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 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 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

AS TRADE LLC

Dallas, TX • On-site

Other

Re-posted 11 days ago

Job description

We are seeking a motivated Data Scientist – Banking Domain to support analytics, predictive modeling, and data-driven decision-making for banking and financial services initiatives. This role focuses on analyzing customer, account, transaction, payment, lending, and risk-related data to identify trends, build models, and support business insights.

The ideal candidate will work with business, analytics, BI, and technology teams to develop data models, perform statistical analysis, create dashboards, and support machine learning use cases within banking operations.

<> Key Responsibilities

Analyze banking and financial services data including customer, account, transaction, payment, lending, and credit data
Write SQL queries to extract, clean, transform, and validate datasets from multiple sources
Use Python for data analysis, feature engineering, statistical analysis, and basic machine learning models
Support development of predictive models for customer behavior, risk analysis, fraud detection, churn, loan performance, and campaign effectiveness
Perform exploratory data analysis to identify trends, patterns, anomalies, and business insights
Build and validate datasets used for reporting, dashboards, and model development
Collaborate with business analysts, data engineers, BI teams, and stakeholders to understand business problems and data needs
Create visualizations and reports to communicate insights to technical and non-technical audiences
Support data quality checks, outlier analysis, missing value handling, and model validation activities
Maintain documentation for data sources, assumptions, model logic, analysis results, and business recommendations

<> Required Qualifications

2–3 years of experience in data science, analytics, data analysis, or related roles
Strong SQL skills for querying, joining, aggregating, and validating data
Good Python knowledge using libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or similar tools
Understanding of statistical analysis, data cleaning, feature engineering, and machine learning basics
Experience with exploratory data analysis, trend analysis, and business insight generation
Basic understanding of banking, financial services, payments, lending, risk, or customer analytics is preferred
Exposure to cloud platforms such as AWS, Azure, or similar environments is a plus
Understanding of data warehousing, data pipelines, and structured datasets
Strong analytical mindset with attention to data accuracy and business context
Good communication skills and ability to explain data insights clearly to business stakeholders

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