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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 Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must ... 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 - Irving, TX - 26-01056 Hybrid, 3 days onsite weekly W2 only accepted, no c2c or ... using Python and/or R to analyze disparate datasets. Preferred Skills: โ€ข Master''s degree ...

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.

Data Scientist

Dallas, TX ยท 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 ...

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 ...

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

Data Scientist

Irving, TX ยท 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 ...

Build scalable analytical pipelines using Python and SQL. * Query and analyze large datasets within ... data science. * Strong proficiency in Python for statistical analysis and modeling. * Strong ...

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 ...

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 ...

Data Scientist

Richardson, TX ยท Remote

$116K - $198K/yr

Overview 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 ...

As a Data Scientist, 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 ...

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 ...

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 ...

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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 Jun 22, 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.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 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 June 2026, with employment types broken down into 35% Full Time, 56% Part Time, and 9% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $121,508 per year, or $58.4 per hour.

Data Scientist with Python

Marencor

Dallas, TX โ€ข On-site

Contractor

Posted 12 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.

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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.

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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+ yearsโ€™ 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