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

ExlService Holdings, Inc.

Data Scientist

Dallas, TX · On-site

Data Scientist - AI Enabled Call Center Efficiency and CEX Location- Hybrid, Jersey City, NJ Salary ... Python * Hands-on experience developing and managing BigQuery pipelines and analytical workflows.

ExlService Holdings, Inc.

Data Scientist

Dallas, TX · On-site

Data Scientist - AI Enabled Call Center Efficiency and CEX Location- Hybrid, Jersey City, NJ Salary ... Python * Hands-on experience developing and managing BigQuery pipelines and analytical workflows.

PepsiCo

Data Scientist

Plano, TX

$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

$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 ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

The Data Scientist is pivotal in generating data-driven insights using advanced analytics and ... Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series ...

Judge Group, Inc.

Data Scientist - IV

Dallas, TX · On-site

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 ...

Essilor

Data Scientist

Dallas, TX

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 ...

EssilorLuxottica Group

Data Scientist

Dallas, TX · On-site

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 ...

EssilorLuxottica

Data Scientist

Dallas, TX · On-site

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 ...

PROLIM Global Corporation

Sr. Data Scientist

Plano, TX · On-site

Proficiency in Python, R, and SQL. Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra. Machine Learning: Knowledge of algorithms and libraries ...

Virtusa

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 ...

Judge Group, Inc.

DATA SCIENTIST - IV

Irving, TX · On-site

Our client is currently seeking a DATA SCIENTIST - IV in Irving, TX Responsibilities: Support the ... Python-most of their code is weitten * PySpark for scaling the model * SQL-also must have * 5 years ...

United Airlines

Data Scientist

Irving, TX · On-site

$90K - $125K/yr

Ideal Candidate A hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building ...

New

Capgemini

Data Scientist

Dallas, TX · On-site

$90K - $125K/yr

Ideal Candidate A hands-on GenAI Engineer/Data Scientist with strong expertise in Generative AI, LLMs, AI agents, Python, SQL, cloud platforms, MLOps, APIs, and data engineering, capable of building ...

New

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Python (Programming Language) * R Statistics * Statistical Analysis * Statistics * Time Series ...

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Showing results 41-60

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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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 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

ExlService Holdings, Inc.

Dallas, TX • On-site

Full-time

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

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

132nd of 482 rated business services

Job description


Data Scientist - AI Enabled Call Center Efficiency and CEX
Location- Hybrid, Jersey City, NJ
Salary- $70- $115k plus bonus
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
The posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
We are seeking a highly motivated Sr. Data Scientist to lead end-to-end Next Best Action (NBA) strategy, delivery, and optimization initiatives. This role combines advanced analytics, business problem-solving, campaign decisioning, and operational ownership to drive personalized member engagement across lines of business.
The ideal candidate will be equally comfortable with analytics and execution, owning the full NBA lifecycle-from strategy translation and targeting logic to deployment, measurement, and continuous optimization.
Success Profile
The successful candidate will demonstrate:
  • Strong business problem-solving capabilities alongside technical expertise.
  • Ownership mentality for both analytics delivery and campaign operations.
  • Ability to balance modeling and AI-driven insights (approximately 50%) with execution, delivery ownership, and NBA operations (approximately 50%).
  • Excellent stakeholder communication and cross-functional collaboration skills.

Responsibilities
Key Responsibilities
  • Own the complete NBA delivery lifecycle, including strategy, design, development, testing, deployment, measurement, and ongoing optimization.
  • Translate business objectives into actionable inclusion/exclusion criteria, targeting logic, and decision strategies.
  • Develop and maintain SQL/BigQuery-based data pipelines supporting campaign targeting, sizing, execution, and reporting.
  • Build and enhance measurement frameworks to evaluate campaign effectiveness, business outcomes, and member engagement.
  • Perform ad hoc analyses to identify optimization opportunities and support stakeholder decision-making.
  • Configure and support NBA implementations within Pega, including launch readiness and process validation.
  • Conduct campaign QA, operational monitoring, and issue resolution to ensure successful NBA execution.
  • Partner with business, product, and technology teams to drive data-informed decisioning and recommendation strategies.
  • Support experimentation and test-and-learn initiatives, including A/B testing and performance measurement.
  • Leverage predictive models, AI/ML, and LLM-based inference capabilities where appropriate to improve decisioning effectiveness.

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.
  • Advanced proficiency in:
  • SQL
  • Google Cloud Platform (GCP)
  • BigQuery
  • Python
  • Hands-on experience developing and managing BigQuery pipelines and analytical workflows.
  • Strong understanding of campaign targeting, audience segmentation, recommendation systems, and decision strategies.
  • Experience designing and implementing measurement frameworks and performance analytics.
  • Ability to translate complex business problems into scalable analytical solutions.

Preferred Qualifications
  • Experience in healthcare analytics, member engagement, or payer organizations.
  • Knowledge of experimentation methodologies, uplift modeling, ranking/recommendation systems, and product analytics.
  • Exposure to machine learning and Generative AI/LLM inference use cases.
  • Experience supporting operational campaign delivery and production decisioning environments.
  • Experience with Pega Decisioning or related campaign orchestration platforms.
  • Strong experience in Next Best Action (NBA), campaign management, decisioning, or customer engagement analytics.

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