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Freelance R Programming Language Jobs in Texas (NOW HIRING)

Hp

AI Platforms Analytics and Governance Lead

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... Programming Language) R (Programming Language) SAS (Software) SQL (Programming Language) Statistics Tableau (Business Intelligence Software) Cross-Org Skills Effective Communication Results ...

Hewlett Packard Enterprise

Revenue Operations Manager

Spring, TX · On-site

$150 - $200/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) **Cross-Org Skills** • Customer Centricity • ...

New

HP Development Company, L.P.

Chief of Staff

Spring, TX · On-site

$130K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... R (Programming Language) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) • Thought Leadership Cross-Org Skills • Effective Communication • Results ...

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Freelance R Programming Language information

What is a freelance R programmer?

A freelance R programmer is a professional who works independently, providing services related to the R programming language on a contract or per-project basis. They typically help organizations or individuals analyze data, build statistical models, visualize results, and develop custom R scripts or packages. Freelance R programmers often work remotely and may serve clients across various industries, including finance, healthcare, academia, and technology. Their flexible arrangements allow them to take on diverse projects, from data cleaning to advanced machine learning tasks.

What are the key skills and qualifications needed to thrive as a freelance R programmer?

To thrive as a Freelance R Programmer, you need strong statistical analysis, data manipulation, and coding skills in R, often supported by a degree in statistics, computer science, or a related field. Familiarity with RStudio, version control systems like Git, and relevant libraries such as tidyverse and Shiny is typically required. Excellent problem-solving, client communication, and time management skills help you stand out in this role. These abilities ensure you can deliver accurate, timely data solutions that meet client needs in a competitive freelance environment.

What are some common challenges freelance R programmers face when working with clients remotely?

Freelance R programmers often encounter challenges related to communication and project scope when collaborating remotely with clients. Since requirements can change or lack clarity, it's important to establish clear expectations and maintain regular updates through meetings or written summaries. Additionally, managing data privacy and access can be tricky, so freelancers should be prepared to use secure data-sharing tools and clarify ownership of scripts and results. Building strong communication skills and being proactive about project management can help overcome these hurdles and ensure successful client collaborations.

What is the difference between Freelance R Programming Language vs Data Analyst?

AspectFreelance R Programming LanguageData Analyst
Required skillsProficiency in R, statistical analysis, data visualizationData manipulation, statistical analysis, reporting
Work environmentIndependent, project-based, remote or on-siteTypically in organizations, team-based, office or remote
CertificationsR certifications, data analysis coursesData analysis, business intelligence certifications
Industry usageFreelance projects across various industriesCorporate, finance, healthcare, marketing

Freelance R Programming Language professionals focus on independent projects requiring R skills, while Data Analysts work within organizations analyzing data to inform business decisions. Both roles require statistical knowledge, but their work settings and project types differ.

Are freelance R programming language programmers in demand?

Freelance R programming language programmers are in demand due to the growing need for data analysis, statistical modeling, and data visualization across industries such as finance, healthcare, and research. Skills in data manipulation, statistical packages, and experience with tools like RStudio increase employability in freelance roles, which often require strong analytical and programming expertise. The demand is expected to grow as data-driven decision-making becomes more prevalent.

What are popular job titles related to Freelance R Programming Language jobs in Texas?

For Freelance R Programming Language jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Freelance R Programming Language jobs in Texas look for?

The top searched job categories for Freelance R Programming Language jobs in Texas are:

Freelance R Programming Language jobs near you

AI Platforms Analytics and Governance Lead

HP Development Company, L.P.

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 22 days ago

Job description

AI Platforms Analytics and Governance Lead
Description -
Job Summary
The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization.
This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives.
Responsibilities
  • Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI.
  • Define platform standards, governance policies, and model consumption guidelines.
  • Evaluate emerging AI technologies and recommend adoption strategies.
  • Partner with security, legal, privacy, and compliance teams.
  • Develop budget guardrails and cost allocation strategies.
  • Create consumption forecasting models and executive dashboards.
  • Identify optimization opportunities including:
    • Prompt engineering
    • Prompt caching
    • Model routing
    • Token reduction
    • Context window optimization
    • RAG optimization
    • Batch processing
    • Agent orchestration improvements
  • Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects.
  • Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends.
  • Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs.
  • Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups.
  • Drives innovation and integration of new data science related technologies and practices into projects and activities in the business.
  • Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions.
  • Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction.
  • Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans.
  • Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment.
  • Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements.
  • Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions.

Education & Experience Recommended
  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
  • Typically has 10+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
• Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits
The pay range for this role is $130,700 to $205,200 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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