1

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

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Strong programming skills in Python; experience with Machine Learning libraries and Generative AI ...

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 ...

... Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. Data Science Proven track record building and deploying ML models for ...

New

Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. * Data Science Proven track record building and deploying ML ...

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

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 ...

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 ...

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 ...

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 ...

next page

Showing results 1-20

Python Data Scientist information

See Dallas, TX salary details

$37.1K

$121.5K

$194.5K

How much do python data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for python data scientist in Dallas, TX is $121,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $134,600.00 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 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 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 $121,508 per year, or $58.4 per hour.

Data Scientist with Python

Marencor

Dallas, TX • On-site

Contractor

Re-posted 28 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