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Python R Jobs in Texas (NOW HIRING)

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

... Python, R, or similar statistical programming languages • Experience with techniques in Natural Language Processing like named entity recognition, information extraction, and sentiment analysis • ...

Required : • Proficiency in data manipulation tools (e.g., Python, R) • Experience with machine learning techniques • Strong statistical analysis skills • Knowledge of data visualization ...

AI Architect

Houston, TX · On-site

$90/hr

... Python, R, or Scala. • Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Proficiency in data manipulation and analysis using SQL and data ...

Lead program management initiatives in Machine Learning, Artificial Intelligence, and Generative AI for healthcare. * Introduce programming languages like Python/R. * Ensure security, access, and ...

New

Capital Markets Intern

Irving, TX · On-site

$15.50 - $20/hr

Experience with SQL, Python, R or other database tools * Coursework or experience in financial modeling or portfolio analysis What You'll Gain * Practical experience analyzing real-world credit and ...

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Python R information

See Texas salary details

$12

$54

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How much do python r jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for python r in Texas is $54.61, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $62.02 per hour, depending on experience, location, and employer.

What is a Python R job?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.

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

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

What are the most commonly searched types of Python R jobs in Texas? The most popular types of Python R jobs in Texas are:
What cities in Texas are hiring for Python R jobs? Cities in Texas with the most Python R job openings:
Senior Root Cause Analyst

Senior Root Cause Analyst

Stellantis Financial Services US

Addison, TX • Hybrid

Full-time

Posted 21 days ago


Job description

Position Summary:
The Sr. Root Cause Analyst leads the investigation of complex customer complaints, dealer escalations, and systemic issues impacting customer experience and operations. This role uses advanced data analysis, reporting, and root cause methodologies to identify trends, determine key drivers, and implement effective corrective actions. Partnering cross-functionally across internal teams and external partners, the Sr. Root Cause Analyst delivers clear, actionable insights that support data-driven decision making, improve processes, and ensure compliance. This role plays a key part in driving continuous improvement and enhancing overall customer satisfaction.

This is a Hybrid position. Must have reliable transportation and live within a commutable distance to Dallas, TX

Responsibilities:

  • Leverage advanced analytics to mine, process, and analyze data using SQL, Python, R, SAS, Power BI, Excel, and other BI tools to support root cause and performance analysis
  • Ensure timely, accurate, and well-documented RCA investigations involving customer complaints, dealer escalations, buybacks, and systemic issues
  • Coordinate and lead the end-to-end RCA process, including intake, prioritization, and execution across key business areas
  • Apply data mining, statistical analysis, and RCA methodologies to identify trends, anomalies, and key drivers impacting customer experience, operations, and compliance
  • Build, validate, and maintain predictive models, dashboards, and reporting to monitor recurring issues, emerging risks, KPIs, and process gaps
  • Present concise, actionable insights and recommendations to senior leadership to support data-driven decisions and corrective actions
  • Analyze portfolio and operational trends, resolving data quality issues to ensure accurate, reliable, and timely insights
  • Partner cross-functionally with external partners to validate data and implement corrective measures, including database and dataset support
  • Maintain and protect confidential consumer information in compliance with company policies and regulatory requirements
  • Perform other duties as assigned

Required Experience:

  • Minimum of five (5) years of experience in data/business analysis with a focus on root cause analysis and complex problem solving
  • Strong proficiency in data tools (Excel, Power BI, SQL, Python, R, SAS or similar) and reporting
    Experience using data and statistical methods to drive insights and business decisions
  • Excellent communication and stakeholder management skills, with the ability to present findings and influence outcomes
  • Proven ability to manage complex issues with sound judgment and professionalism
  • Detail-oriented, highly organized, and able to prioritize work in a fast-paced environment

Preferred:

  • Prior auto finance, finance or captive industry experience

Education:

  • Bachelor’s degree in mathematics, statistics, economics, computer science, finance, or other quantitative field, or equivalent experience

Additional:

  • Overtime required on an as needed basis
  • Travel 0 - 10% as required on an as needed basis

Physical Demands:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.

Work Schedule:

  • 8 am – 5 pm / Monday – Friday with required in office days throughout the week

Stellantis Financial Services, Inc (SFS) is an equal opportunity employer and is committed to providing its employees with an environment that is free of harassment, discrimination, and intimidation. It is the policy of SFS to comply with all applicable employment laws and regulations and to provide equal opportunity for all qualified persons and to not discriminate against any employee or applicant for employment because of race, color, religion, sex, age, national origin, disability, pregnancy, sexual orientation, veteran status, gender identity or expression, change of sex, and/or transgender status or any protected status. Candidates must possess authorization to work in the United States. This policy applies to recruitment and placement, promotion, training, transfer, retention, rate of pay and all other terms and conditions of employment. Employment and promotion decisions will be based solely on merit, ability, achievement, experience, conduct and other legitimate business reasons.