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Internship Data Science R Jobs in Childress, TX (NOW HIRING)

Bachelor's degree in Data Analytics, Data Science, Construction Management, Engineering, Finance ... Experience using Python, R, cloud data platforms, version control, or automated data pipelines to ...

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Internship Data Science R information

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$9

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$34

How much do internship data science r jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship data science r in Childress, TX is $18.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.38 and $20.38 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What cities near Childress, TX are hiring for Internship Data Science R jobs?

Cities near Childress, TX with the most Internship Data Science R job openings:

Construction Data Analyst

Childress, TX • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Job Type:Full-time | Location:Childress, Texas | Department:Construction | Reporting to:Associate Director, Construction| Work Location: #onsite

IREN is a vertically integrated AI Cloud provider, delivering large-scale data centers and GPU clusters for AI training and inference. IREN’s platform is underpinned by its expansive portfolio of grid-connected land and power in renewable-rich regions across North America, Europe and APAC.

Turn project data into clear decisions that accelerate the delivery of high-performance computing infrastructure. As the Construction Data Analyst, you will establish trusted reporting and actionable insights across an air-cooled HPC data center program by integrating schedule, cost, procurement, workforce, quality, safety, commissioning, and turnover data. You will partner with construction leadership and electrical, mechanical, and civil/structural teams to identify risk, validate progress, improve forecast accuracy, and give stakeholders a consistent view of project performance from preconstruction through final handover.

With 100% renewable energy, we build, own and operate our data centers and take pride in being at the forefront of sustainable solutions for the ever-evolving applications of high-performance compute. We believe that human progress is invaluable, but it should be done in the right way – responsibly, sustainably and having a positive impact on the communities we operate in.

Job requirements

  • Bachelor's degree in Data Analytics, Data Science, Construction Management, Engineering, Finance, Computer Science, or a related field; equivalent relevant experience will be considered.
  • Minimum of 3 years of experience in data analytics, project controls, or construction reporting, preferably within mission-critical, industrial, advanced manufacturing, or data center projects.
  • Advanced proficiency in Microsoft Excel and a business-intelligence platform such as Power BI or Tableau, including data modeling, dashboard development, and tools such as Power Query, DAX, or comparable functionality.
  • Working proficiency in SQL and experience extracting, cleaning, transforming, joining, and reconciling data from multiple systems; familiarity with APIs or workflow-automation tools is beneficial.
  • Strong knowledge of construction controls, including CPM schedules, work breakdown structures, cost codes, budgets, commitments, change management, earned value, productivity, procurement, and forecasting.
  • Ability to interpret project data across electrical, air-cooled mechanical, and civil/structural scopes from design and procurement through installation, testing, commissioning, and turnover.
  • Demonstrated ability to establish data definitions, perform quality checks, document calculation logic, maintain traceability, and produce accurate, audit-ready reporting.
  • Strong written and verbal communication skills, with the ability to translate complex data into concise findings, clear visualizations, and practical actions for field teams and executive stakeholders.
Preferred Experience
  • Prior experience supporting hyperscale, AI, or HPC data center construction, including multi-building programs and work adjacent to live mission-critical systems.
  • Experience with Primavera P6 or Microsoft Project, Procore or Autodesk Construction Cloud, ERP or cost-control systems, and commissioning or digital-turnover platforms.
  • Experience using Python, R, cloud data platforms, version control, or automated data pipelines to improve reporting efficiency and reliability.
  • Familiarity with the sequencing and readiness requirements of electrical power systems, air-cooled mechanical systems, site civil infrastructure, structural construction, and integrated commissioning.
Other important requirements
  • Pre-employment screening, including background check and substance testing may be required according to company policies.
  • Must provide own steel-toed work boots; other PPE will be supplied.
  • Must be able to reliably commute to the work site daily or have plans to relocate before starting work.
  • Must be comfortable working a rotational schedule, which includes day and night shifts as well as weekend work, based on project needs.
  • Employees working night shifts will receive a 15% premium added to their hourly rate only for hours worked during night shifts.
Job responsibilities
  • Establish and maintain the project reporting framework, including data definitions, KPI calculations, reporting calendars, responsibility assignments, and a consistent source of truth for construction performance.
  • Integrate data from schedules, cost systems, procurement logs, Procore or comparable platforms, contractor reports, daily field records, QA/QC systems, safety records, commissioning platforms, and turnover trackers.
  • Develop and maintain dashboards and scorecards for project leadership and discipline teams covering milestones, cost, installed quantities, productivity, workforce, procurement, changes, constraints, risks, quality, commissioning, and turnover readiness.
  • Validate and reconcile owner, contractor, and vendor data; investigate exceptions, correct inconsistencies, document source and calculation logic, and preserve an audit trail for reported results.
  • Analyze schedule health, including critical and near-critical paths, float erosion, milestone variance, look-ahead constraints, progress trends, and recovery-plan performance; provide early warning of emerging delivery risks.
  • Analyze budget, commitments, actual costs, estimate to complete, estimate at completion, cash flow, change exposure, and forecast variance in coordination with project controls, commercial, finance, and construction teams.
  • Track electrical readiness from design release and long-lead procurement through installation, testing, and energization for major systems such as medium- and low-voltage distribution, generators, switchgear, transformers, UPS equipment, and busway.
  • Track air-cooled mechanical readiness, including equipment release, delivery, installation, startup, controls integration, functional testing, and commissioning of ventilation, air-handling, cooling, and related heat-rejection systems.
  • Track civil and structural progress across earthwork, grading, foundations, structural steel or precast erection, slabs, roads, underground utilities, building enclosure, and dry-in milestones.
  • Measure field progress and productivity using installed quantities, planned-versus-earned hours, manpower, daily reports, photographs, inspections, and payment applications; reconcile reported progress with observable field conditions.
  • Automate repeatable data preparation and reporting workflows, maintain clear documentation and access controls, train report users, and continuously improve data quality, timeliness, and usability.
  • Prepare concise weekly and monthly performance reports, explain drivers behind trends and variances, elevate risks and data gaps, and support decisions that protect phased building delivery, capacity milestones, commissioning, and final turnover.

At IREN, we offer a comprehensive, market-competitive total rewards package designed to support employees’ well-being, career advancement, and financial wealth. Our offerings reflect our commitment to Proceed with Purpose while rewarding high performance and long-term growth.

Compensation
  • Per Diem amount of $180.00 and project allowance, when applicable
  • 15% night-shift premium for eligible roles, when applicable
  • Overtime compensation for non-exempt workers for hours worked over 40 per week
  • Relocation and Living-out-allowance (as applicable and based on successful candidate circumstances)
Health & Wellness
  • 100% company paid health insurance premiums (medical, dental, and vision) for employees, 75% company paid coverage for dependents
  • Company-paid short-term and long-term disability insurance
  • Voluntary life, critical illness, and accident coverage available
  • Health Savings Accounts (HSA) – when combined with the High-Deductible Health Plan
  • Employee Assistance Program and wellness resources
Retirement &FinancialWealth
  • 401(k) retirement plan with company match
  • Paid professional development and access to financial planning and legal services
Time Off &Leave Programs
  • Paid Time Off (PTO) and paid holidays
Growth & Development
  • Professional development to support certifications, continuing education, or role related training
Community &Culture
  • Company events and team-building activities

We value diverse perspectives and believe that skills can be developed. If you’re passionate about this role, we want to hear from you — whether you meet every criteria or not. Your unique experiences might be exactly what we need!

IE US Operations Inc., the employing entity and proud member of the IREN group is an equal opportunity employer that is committed to creating an inclusive workplace. We are committed to evaluating qualified applicants and do not discriminate against protected characteristics under applicable legislation.

IE US Operations, Inc. “IREN”participatesin E-Verify and will provide the federal government with your Form I-9 information to confirm that youare authorized towork in the United States.

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