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

Data Scientist with Python Location: Dallas, TX below. Data Science Skills * Deploy and maintain knowledge ingestion pipelines and integration into API-based services. * Strong knowledge of data ...

Data Scientist Location: Dallas, TX Hybrid Role Summary Data Scientists bridge raw data and ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

Data Scientist - JD & Tech Stack Location: Plano/Frisco, TX Hybrid In Person Interview Visa ... Python, R, or SQL Tech Stack Category Tools Languages Python, R, SQL ML Libraries Scikit-learn ...

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 ...

Data Scientist Location: Irving, TX- 3 days in office. Duration: 6-12 months Detail Bachelor ... Proficiency in training and deploying data models Proficiency in Python and experience with ...

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.

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 ...

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

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 ...

... 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 ...

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 ...

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 ...

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.

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Python Data Scientist information

See Dallas, TX salary details

$37.3K

$121.9K

$195.2K

How much do python data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for python data scientist in Dallas, TX is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 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 Dallas, TX? For Python Data Scientist jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Dallas, TX look for? The top searched job categories for Python Data Scientist jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Data Scientist jobs? Cities near Dallas, TX with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.

Data Scientist with Python

Marencor

Dallas, TX • On-site

Contractor

Re-posted 7 days ago


Job description

Data Scientist with Python

Location: Dallas, TX

Job description below.

Data Science Skills

  • Deploy and maintain knowledge ingestion pipelines and integration into API-based services.
  • Strong knowledge of data cleansing, NLP, parsing tools, regex, and optimization strategies for RAG.
  • Experience fine-tuning and deploying LLMs.
  • Stay current on the latest GenAI trends, frameworks, and coding practices.

 

Software Development Skills

  • Solve complex problems by writing and testing application code, developing and validating data pipelines, and automating tests and deployment.
  • Proficiency in designing and building in cloud environments such as Azure, GCP, or AWS.
  • Uphold quality through DevOps pipeline, unit-, integration-, and end-to-end testing.

 

Required Qualifications:

  • 5+ years of experience programming with Python.
  • 1+ years of experience in Git and version control.
  • 1+ years of experience with a public cloud (
  • 1+ years using Scikit-learn
  • 1+ years of Langchain experience.
  • 1+ years of LLM experience building RAG systems
  • 1+ year experience with vector databases such as MongoDB Atlas or Pinecone
  • Portfolio of LLM applications and sample projects
  • 2+ years of NLP experience using tools such as NLTK, SpaCy, and Beautiful Soup
  • 1+ years of LLM experience building RAG systems at scale (10,000+ documents).
  • 1+ years’ experience in DevOps with GitHub Actions or similar CI/CD tools.
  • 1+ years of writing and deploying microservices
  • 1+ years of Kubernetes experience
  • Strong code refactoring skills
  • Strong debugging skills.
  • Familiarity with concepts such as Agents, adding memory to LLMs, routing, moderating content