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

Pyramid Consulting, Inc

Data Scientist

Plano, TX · On-site

Required : • 2-5 years' experience in a data scientist or data analytics role. • 2-5 of ... SAS, and/or Python). • Strong quantitative skills. • Experience in applying advanced ...

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

Proficiency in common data science coding languages such as in SQL, Python and/or R (Spark is preferred) * Practical experience with Google Cloud Platform and services such as BigQuery, Looker, and ...

Toyota

Data Scientist

Plano, TX · On-site +1

Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for ... Experience working in Data Science outside of a degree-seeking academic program. What we'll bring ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... Strong proficiency in Python or R and SQL. * Demonstrated ability to support and influence ...

PeopleVisor

Data Scientist

Irving, TX · On-site

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw ...

PeopleVisor

Data Scientist

Irving, TX

Peoplevisor is seeking an experienced Data Scientist who will support our product, sales ... Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Python (proficient) with major ML libraries * Experience with opensource Gen AI LLMs e.g., Llama ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... Strong proficiency in Python or R and SQL. Demonstrated ability to support and influence ...

PepsiCo

Data Scientist

Plano, TX · 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 ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

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 ...

PepsiCo Deutschland GmbH

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

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 ...

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Dallas, TX

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 Aug 7, 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.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

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.

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.

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.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
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Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,508 per year, or $58.4 per hour.

Data Scientist

Inabia Software & Consulting Inc.

Grand Prairie, TX • On-site

$148K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

To be noted: Due to the heightened security nature of this job, there will be a background check after two rounds before offer, then final interview with client. Please send candidates.

Role: Data Scientist
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP

Note: Relocation assistance will be provided by Nagarro.


USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (For the right candidate - please negotiate best, even if above $148,500, and submit)

As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:

  • Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).
  • 15 days of Paid Time Off (PTO).
  • 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
  • 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).

Must Have:

  • 5+ years of experience required as Data Scientist (No limit for a right candidate)
  • Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure. 
  • Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.


Job Overview: 

  • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
  • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders. 
  • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.

 

Good to have skills:

·        2-4 years working in manufacturing domain.

·        Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.

·        Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.

  • Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments. 
  • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems. 

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