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

Python Data Wrangler Internship

Dallas, TX · On-site

$49.75 - $68.50/hr

Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field. * 2 or more years of educational experience with statistical programming languages (such as ...

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 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: San Antonio, TX / Plano, TX (Onsite) Employment Type: Contract Experience ... This role requires strong expertise in Python, R, SQL, statistical modeling, and machine learning ...

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: • 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 · 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 · 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 ...

Job Summary : Alpha Consulting Corp. is seeking a highly skilled Senior Data Scientist with ... such as Python, SQL, or R • Prior work experience at client or in client's Industry • ...

New

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 ...

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 ...

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 work across functional areas to support the application of data ... Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into statistical ...

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Python Data Scientist information

See Dallas, TX salary details

$37.1K

$121.4K

$194.4K

How much do python data scientist jobs pay per year?

As of Jun 1, 2026, the average yearly pay for python data scientist in Dallas, TX is $121,417.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $134,500.00 per year, depending on experience, location, and employer.

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 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 data science dead in 10 years?

As a Python Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and increased data availability will likely shift the focus toward more specialized skills, but data science roles will continue to be essential for interpreting data and developing insights. Staying current with programming languages like Python and tools such as TensorFlow or scikit-learn will remain important for job relevance.

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 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:
Python Data Wrangler Internship

Python Data Wrangler Internship

Refinere

Dallas, TX • On-site

$49.75 - $68.50/hr

Internship

Posted 4 days ago


Job description

RefineRE is seeking a Python intern to work closely with the product team on various projects to ensure integrity of data quality. These projects will entail iterative programming aspects that shed light on data quality, consistency, and usability. Ideal candidates will possess strong problem solving and intermediate python skills.
Requirements:
  • Pursuing a degree in Computer Science, Data Science, Data Analytics, Applied Statistics, or related field.
  • 2 or more years of educational experience with statistical programming languages (such as Python or R).
  • Familiarity with Jupyter notebooks or other Python IDE's.
  • Ability to do basic tasks in Python or R to
    • Create loops for iterating over rows and columns in a data frame,
    • Transform data based on logical conditions,
    • Keep well-documented code while producing project deliverables on time,
    • Develop reusable, efficient, testable, and scalable code.

Nice to have:
  • Experience with SQL, API's, GCP and/or Tableau.

*Can be in office, remote, or hybrid*