1

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

A ctive TS/SCI with Full Scope Poly clearance , Data Scientist, R, Python, SAS, or MATLAB, Machine Learning ** Essential Functions: * Conceptual, quantitative, organizational, research, writing ...

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 ...

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.

No Sponsorship Required Skills: 4+ years experience as a Data Scientist Python and SQL experience Machine Learning (ML) and NLP (Natural Language Processing) experience Automation experience ...

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

Data Scientist We are seeking a highly skilled Senior Data Scientist with technical expertise and ... Strong knowledge in programming languages such as Python, SQL, or R * Prior work experience at ...

They are seeking a Data Scientist to support Radar Sensor Systems, where the role involves applying ... • Python development (numpy, scipy, scikit-image, and scikit-learn) for integration into ...

... using Python, SQL, and other tools. - Develop and deploy deep learning models to improve ... Qualifications: - Bachelor's or master's degree in computer science, Statistics, Mathematics, Data ...

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 ...

The Data Scientist works closely with Retail Technology, Media and Account Services teams to ... Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn ...

Data Scientist Duration: 06+ Months - potential to extend Locations: Charlotte, NC / Dallas, TX / ... Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud ...

Data Scientist Immediate need for a talented Data Scientist with experience in the Banking and ... Knowledge of at least one statistical programming language (R, SAS, and/or Python) * Strong ...

Data Scientist Location : Lewisville, TX (Multiple locations available) Duration : 6 months ... Strong knowledge in programming languages such as Python, SQL, or R * Prior work experience at ...

New

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 ...

next page

Showing results 1-20

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 3, 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 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:

Job description

Data Scientist
(active TS/SCI with Full Scope Poly Clearance required)

Location: McLean, VA 22102 - Onsite
Relocation assistance: No sign on bonus possible to offset the costs.
Visa sponsorship eligibility: No
** Skills: A ctive TS/SCI with Full Scope Poly clearance, Data Scientist, R, Python, SAS, or MATLAB, Machine Learning **
Essential Functions:
  • Conceptual, quantitative, organizational, research, writing, verbal communication and graphical representation skills.
  • Sound judgment and creative problem solving and independent working skills.
  • Sound interpersonal and teamwork skills to work with individuals and organizations, to include varying levels and types (Government, industry, and academia).
  • Facilitation skills to bring diverse groups together on issues and reach consensus across stakeholders.
  • The ability to perform complex analyses and to communicate its results using accurate, concise, and effective writing and through descriptive and graphical representations.
  • Technical understanding of the systems supporting aspects of the functional areas.
  • Knowledge of standard tools [e.g., the Sponsor's various computing networks, Microsoft Office Products], as appropriate; and a demonstrated ability to learn to use and support other tools that may be added or developed as the program evolves.
  • Flexibility in assisting with ad hoc tasks and in adjusting as tasks are re-prioritized.

Required Degree and Experience:
  • Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience
Must have:
  • Active TS/SCI security clearance with Full Scope is required
  • Bachelor's degree in a technical field (computer science, mathematics, statistics, etc.) with 3 years of relevant experience.
  • Data Science experience
  • Python and/or R
  • Machine Learning/Computer Vision/Object Detection
  • Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement
  • Master's degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience
  • Bachelor's degree in a technical field (computer science, mathematics, statistics etc.)
Desired Skills
  • Prior experience with Pytorch, keras and overhead imagery would be beneficial but not a requirement
  • Master's degree in a technical field (computer science, mathematics, statistics etc) with 1 year of relevant experience
  • Bachelor's degree in a technical field (computer science, mathematics, statistics etc)