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Python Data Science Jobs in Richardson, TX (NOW HIRING)

TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize ... Python and SQL skills and experience working with large, complex datasets. • Experience ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

Support Center - Irving The Manager - Data Science role is critical in helping to determine which ... SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and ...

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 ...

Senior Manager, Data Science We are Lennar Lennar is one of the nation's leading homebuilders ... Deep proficiency in Python and the modern ML stack (scikit-learn, XGBoost/LightGBM, pandas), and ...

Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a ... Proficiency in training and deploying data models Proficiency in Python and experience with ...

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of ... Strong programming skills in Python and SQL. * Deep experience with statistical analysis, machine ...

Role Summary We are looking for a Staff Data Science Engineer to lead the design and delivery of ... Strong programming skills in Python and SQL. * Deep experience with statistical analysis, machine ...

Build production-quality solutions using Python, PySpark, SQL, and enterprise data science platforms to support robust model development and operationalization * Partner with product managers, data ...

Principal Associate, Data Science

Plano, TX · On-site

$56K - $56K/yr

Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the ... Science, or a related quantitative field and 5 years of experience in performing data analytics.

Principal Associate, Data Science

Plano, TX · On-site +1

$56K - $56K/yr

Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the ... Science, or a related quantitative field and 5 years of experience in performing data analytics.

This area provides data science support for internal business partners at State Farm, including ... Python, R, or SAS Other Things We Look For: * Familiarity with experimental design concepts for ...

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How much do python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python data science in Richardson, TX is $53.24, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.48 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

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 strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, 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 field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Richardson, TX? For Python Data Science jobs in Richardson, TX, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Richardson, TX look for? The top searched job categories for Python Data Science jobs in Richardson, TX are:
What cities near Richardson, TX are hiring for Python Data Science jobs? Cities near Richardson, TX with the most Python Data Science job openings:
Director of Data Science

Director of Data Science

TBK Bank, SSB

Dallas, TX • On-site

Full-time

Re-posted 10 hours ago


Job description

Job Summary:
TBK Bank, SSB is seeking a Director of Data Science to design, build, and operationalize quantitative models that power both internal and customer-facing intelligence solutions. This role focuses on developing forecasting, optimization, and signal-based models to translate large-scale transportation data into trusted insights.
Responsibilities:
• Develop and maintain forecasting and predictive models supporting transportation use cases such as pricing, demand forecasting, capacity trends, service performance, and network dynamics.
• Build and scale the data science function, including hiring, onboarding, and managing direct reports as business needs evolve. Design and execute statistical modeling and experimentation, including hypothesis testing, A/B testing, and causal analysis to evaluate market and operational changes.
• Build optimization and decision support models that inform routing, capacity allocation, pricing strategy, and operational trade‑offs.
• Lead signal development for transportation intelligence products, transforming raw transactional and network data into scalable, reliable indicators and indices.
• Establish and lead model validation, performance monitoring, and governance frameworks to ensure stability, accuracy, and trustworthiness of production models.
• Partner closely with product, analytics, and engineering teams to translate transportation domain needs into analytically sound, production ready models.
• Document methodologies, assumptions, and limitations to support transparency, internal review, and customer facing confidence in intelligence outputs.
• Continuously evaluate new data sources, modeling approaches, and techniques relevant to transportation, logistics, and network-based intelligence.
Qualifications:
Required:
• A Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or another relevant quantitative discipline is required.
• 5–7 years of professional experience in data science, applied statistics, or quantitative analytics.
• Strong experience with forecasting, predictive modeling, and statistical analysis in applied business contexts.
• Demonstrated ability to build models that support decision making, optimization, or market intelligence.
• Strong Python and SQL skills and experience working with large, complex datasets.
• Experience validating models and monitoring performance in production environments. Direct experience with model governance frameworks.
• Ability to clearly communicate quantitative insights to both technical and non‑technical stakeholders.
Preferred:
• Experience working with transportation, logistics, supply chain, or network-based data.
• Strong expertise in Regression & tree-based models (e.g., XGBoost, Random Forest)
• Strong expertise in Time series forecasting (e.g., SARIMAX, Prophet, TFT)
• Strong expertise in Statistical modeling of skewed distributions (e.g., log-normal, gamma)
• 2 years in a leadership or people‑management capacity
• Deep understanding of freight market dynamics, including the interaction between spot and contract pricing, broker and carrier economics, and the impact of capacity cycles and seasonality on market behavior.
• Familiarity with time‑series modeling, signal processing, or index construction.
• Experience supporting intelligence, analytics, or data products used by external customers.
• Experience working with large-scale datasets in cloud environments and data pipelines (e.g., Snowflake, AWS, Sagemaker)
Company:
A State Savings Bank headquartered in Dallas, Texas, TBK Bank is a subsidiary of Triumph Financial. (Nasdaq: TFIN). Founded in 2015, the company is headquartered in Durango, USA, with a team of 1001-5000 employees. The company is currently Late Stage.