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

Data Scientist

Plano, TX ยท On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Python development. * 2+ years' experience working with modern cloud platforms to power ML ...

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Python development. * 2+ years' experience working with modern cloud platforms to power ML ...

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Python development. * 2+ years' experience working with modern cloud platforms to power ML ...

Data Scientist - IV Location: Irving, TX (Hybrid) Duration: Long term contract Responsibilities ... Proficient in Python and SQL Hands-on experience in database technology (Postgres, Redis, Elastic ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Clinical Data Scientist

Irving, TX ยท On-site +1

$130K - $160K/yr

Clinical Data Scientist Job Summary The RedSail Technologies Network Services Business Unit has the ... Experience programming with Python or Go Lang. Discretionary Judgement * Uses independent judgment ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Strong programming skills in Python or R; experience with ML libraries (scikit-learn, TensorFlow ... Master's or PhD in Data Science, Statistics, or related discipline * Experience in applied research ...

Gen AI developer

Irving, TX

$116K - $157K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or related field 7-10+ years of experience developing scalable applications, including AI/ML systemsStrong expertise in Python and ...

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data ... Expertise in programming with Python, R, or SQL; hands-on experience with machine learning ...

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

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Showing results 1-20

Python Data Scientist information

See Dallas, TX salary details

$37.3K

$121.9K

$195.2K

How much do python data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for python data scientist in Dallas, TX is $121,934.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,900.00 and $135,100.00 per year, depending on experience, location, and employer.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, due to its extensive libraries such as pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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 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 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 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 July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,934 per year, or $58.6 per hour.
Data Scientist / Data Science Specialist

Data Scientist / Data Science Specialist

Adidev Technologies Inc

Dallas, TX โ€ข On-site

Full-time

Posted 26 days ago


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
JOB RESPONSIBILITIES
  • Perform exploratory data analysis, data verification, and cleaning, robust & reproducible statistical analysis with comprehensive reporting of results.
  • Develop novel ways to help business partners achieve objectives through analysis and modeling
  • Curate and connect external data sets for broad enterprise-wide analytic usage
  • Be a storyteller to explain the 'why and how' of your data-driven recommendations to cross-functional teams
  • Utilize machine learning to create repeatable, dynamic, and scalable models
  • Have a passion to advocate and educate on the value and importance of data-driven decision making and analytical methods
  • Responsible for implementing robust testing strategies leading to model optimizations, program effectiveness, and attribution of marketing mix elements

REQUIRED SKILLS
  • Experience designing, managing, developing, and analyzing multiple large complex data models spanning multiple disparate sources
  • Comfortable in basic statistical analysis, modeling, clustering, and data mining techniques to identify trends and insights
  • Proficiency in using query languages, such as SQL, Spark Data Frame API, etc. - an advantage
  • Lead the conception, development, and evaluation of new Deep Learning, Natural Language Processing, and Machine learning products.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience in web technologies and frameworks (TensorFlow, PyTorch, Sci-kit Learn)
  • Familiarity with MLOps frameworks like MLflow.
  • Familiarity with SQL.
  • Some familiarity with AWS Lambda, AWS SageMaker, Jenkins, and Databricks.
  • Hands-on experience with AWS cloud computing services (IAM, EC2, Lambda, S3, DynamoDB, RDS, CloudFormation) for machine learning applications
  • Experience with Python and R, comfortable working with DataFrames
  • Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)
  • Experience with technologies used to build analytics dashboards/applications, such as RShiny, Dash, and Streamlit
  • Experience working with version control systems such as Git and SVN
  • Experience writing complex SQL queries
  • Understanding data warehousing and databases is critical
  • Experience with business intelligence/ visualization tools such as Qlik, Tableau or PowerBI

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science
  • Experience with Python
  • Experience with machine learning, Deep Learning
  • Mathematical and statistical background
  • Experience with Hadoop, Hive, and/or Spark

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)