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Python R Jobs in Houston, TX (NOW HIRING)

Strike

AI Analyst I

Spring, TX · On-site

Basic proficiency in Python, R, or a similar programming language. * Familiarity with SQL and working with datasets. * Understanding of fundamental statistics and data analysis concepts. * Exposure ...

Strike

AI Analyst I

Spring, TX · On-site

Basic proficiency in Python, R, or a similar programming language. * Familiarity with SQL and working with datasets. * Understanding of fundamental statistics and data analysis concepts. * Exposure ...

Strike LLC

AI Analyst I

Spring, TX · On-site

Basic proficiency in Python, R, or a similar programming language. * Familiarity with SQL and working with datasets. * Understanding of fundamental statistics and data analysis concepts. * Exposure ...

Insolation Technology LTD

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Cyrten

Data Scientist / Engineer

Spring, TX · On-site

... Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL ...

Auto Fit Inc

Data Scientist

Houston, TX · On-site

Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis. * Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.

Remote Core Solutions

Lead Data Scientist

Houston, TX · On-site

Advanced experience with statistical programming (Python, R, or similar), SQL, and data visualization tools. * Healthcare or hospital data environment experience preferred (e.g., EHR, revenue cycle ...

Cyrten

Data Scientist / Engineer

Spring, TX · On-site

... Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL ...

Cyrten

Data Scientist / Engineer

Houston, TX · On-site

... Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search, and discovery techniques. - Proficiency in database systems and SQL ...

SupplyHouse

Pricing Analyst

Houston, TX · On-site

$70K - $85K/yr

Familiarity working with data extraction, visualization, and analysis tools such as SQL, Python, R, and/or PowerBI * Experience leveraging AI tools (ex: ChatGPT, Claude, Copilot) to improve ...

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How much do python r jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for python r in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 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 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 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.
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Python R jobs near you
AI Analyst I

AI Analyst I

Strike

Spring, TX • On-site

Full-time

Posted 14 days ago

Job description

This is an onsite role based at our Spring, TX office!
Job Summary:

Strike is seeking a motivated and detail-oriented AI Analyst to support the development and implementation of AI and machine learning solutions. This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics.

The position will work under the guidance of senior team members and management to analyze data, assist with model development, and help translate business problems into data-driven insights. This role is based at Strike’s corporate headquarters in The Woodlands, TX and reports to the Business Intelligence Manager.

Key Responsibilities:

  • Assist in collecting, cleaning, and preparing data for analysis and modeling.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Support development and testing of machine learning models and AI solutions.
  • Help monitor model performance and report on accuracy and outcomes.
  • Create basic dashboards, reports, and visualizations to communicate insights.
  • Collaborate with team members to understand business requirements and translate them into analytical tasks.
  • Document processes, models, and results for internal use.
  • Stay current with AI tools, techniques, and best practices.
  • Assist in identifying opportunities for automation and AI-driven improvements.
  • Documents user manuals to describe operating procedures, and provide user training, as needed.
  • Works closely with the assigned project manager(s) and other project resource to deliver high quality solutions and process improvements.
  • Follows all approved Strike PMO and ITSM processes including the use of prescribed templates.

Skills:

  • Analytical thinking and problem solving.
  • Curiosity and eagerness to learn.
  • Time management and organization.
  • Collaboration and teamwork.
  • Ability to communicate effectively.
  • Ability to quickly learn new solutions, processes, and procedures.
  • Ability to understand business functionality and translate it into solution requirements.
  • Understanding of the various software development lifecycles (e.g. Agile, Waterfall, etc.).

Required Qualifications:

  • Bachelor’s degree in Data Science, AI, Statistics, Mathematics, or a related field.
  • Basic proficiency in Python, R, or a similar programming language.
  • Familiarity with SQL and working with datasets.
  • Understanding of fundamental statistics and data analysis concepts.
  • Exposure to machine learning concepts (e.g., regression, classification, clustering).
  • Experience with Excel and/or data visualization tools (Power BI, etc.).
  • Strong attention to detail and willingness to learn.
  • Good written and verbal communication skills.

Preferred Qualifications:

  • Experience with ML libraries through coursework or projects.
  • Exposure to cloud platforms (Azure, AWS, or GCP).
  • Experience using Microsoft’s Copilot suite.
  • Basic knowledge of data pipelines or ETL processes.
  • Familiarity with generative AI tools or APIs.
** Must have USA work authorization. Sponsorship not available**

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