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Python Data Scientist Jobs in Texas (NOW HIRING)

Data Scientist (Hybrid) ( 80007) Data Engineer San Antonio, TX, USMid-LevelFull-time Description We ... Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Citizenship required . * 9+ years of relevant experience in data science, data engineering ... Strong experience with Python (data manipulation, scripting, analytics) * Experience working with ...

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 ...

Python Data Wrangler Internship

Texas, IL · On-site +1

$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 ...

Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks. * Collaborate with data scientists to translate models into production ...

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 ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

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.

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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 May 31, 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.

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 cities in Texas are hiring for Python Data Scientist jobs? Cities in Texas with the most Python Data Scientist job openings:
Data Scientist

Data Scientist

Syndicus, Inc.

San Antonio, TX • Hybrid

Other

Posted 4 days ago


Job description

Data Scientist (Hybrid) (80007)
Data Engineer
San Antonio, TX, USMid-LevelFull-time
Description
We are looking for a talented Data Scientist to support the analysis of mission critical and mission-support data sets.
Requirements
Essential Job Responsibilities
  • The ideal candidate will have worked with big data systems, complex structured and unstructured data sets, and have supported government data analysis and analytic development efforts in the past.
  • The candidate will have experience authoring data transforms and statistical analytics for data quality and conformance validation.
  • To excel in the position, the candidate shall have a strong attention to detail, be able to understand technical complexities, and have the willingness to learn and adapt to the situation.
  • The candidate will work both independently and as part of a team to accomplish client objectives.
Minimum Qualifications
  • 9 years total relevant experience plus the following: BS in Engineering, Computer Science, or technical degree or industry experience equivalent (+4 years relevant experience can substitute for a BS degree)
  • Security Clearance-Current active Secret
  • Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine learning, natural language processing (e.g., Scikit-Learn, PyTorch, Spa Cy, NLTK)
  • Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
  • Familiarity with various log formats such as JSON, XML, and others.
  • Must be willing to achieve required skill certification promptly. Prefer current DoD IAT II or higher certification.
  • Willingness to do a programming challenge during the interview process.
  • Experience with Jupyter Notebooks, Python Data Science Libraries.
  • Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models.
  • Place of Performance: Hybrid work in San Antonio, TX.
Desired Skills (Optional)
  • Experience with NOSQL databases such as Accumulo a plus
  • Familiarity with deploying models as API's or within containerized environments (e.g., Docker, Kubernetes) to serve and monitor models in production.
  • Experience with Large Language Models (LLMs)/transformer models
  • Experience with writing, updating Java API's
  • Prior experience supporting cyber and/or network security operations within a large enterprise, as either an analyst, engineer, architect, or developer.
  • Experience with restful API's
  • Familiarity with Agile Project team and task management environment.
  • Experience with Zoom/Team/Meet style team meetings.
Syndicus NACON provides service-oriented staffing and recruiting services to small businesses, large corporations, nonprofits, and government agencies. We pride ourselves on personal service, local market knowledge and commitment to providing great job opportunities. We specialize in contract, contract-to-hire, and direct placement positions. We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.