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Data Science R Jobs in Phoenix, AZ (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ · On-site

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * 3+ years of experience in a data analytics role. * Proficiency in SQL, Python, R, or other ...

USAA

Senior Marketing Data Scientist

Phoenix, AZ · On-site

Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ... Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake ...

Achieve

Data Scientist (AHL)

Tempe, AZ

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Proficient coding skills in SQL and Python/R. * Experience developing BI dashboards using Tableau ...

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Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Proficient coding skills in SQL and Python/R. * Experience developing BI dashboards using Tableau ...

Achieve

Data Scientist (AHL)

Tempe, AZ

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Proficient coding skills in SQL and Python/R. * Experience developing BI dashboards using Tableau ...

Achieve

Data Scientist (AHL)

Tempe, AZ

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Proficient coding skills in SQL and Python/R. * Experience developing BI dashboards using Tableau ...

Cliftonlarsonallen

Data Analyst Senior

Phoenix, AZ · On-site +1

$107K - $155K/yr

... language like R or Python. The Data Analyst Senior cleans up data for analysis and/or visual ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

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All JobsData Science R JobsData Science R Jobs in Phoenix, AZ

Data Science R information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do data science r jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science r in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What is a Data Science R?

A Data Science R job involves using the R programming language for data analysis, statistical modeling, and machine learning. Professionals in this role work with large datasets, clean and preprocess data, apply predictive modeling techniques, and visualize insights. They often use libraries like ggplot2, dplyr, and caret to manipulate data and build models. This role is common in industries such as finance, healthcare, and marketing, where data-driven decision-making is essential. Strong statistical knowledge, programming skills, and domain expertise are key to success in this position.

What does a Data Science R do?

In most organizations, Data Science R professionals spend their days gathering and cleaning data, performing exploratory data analysis with R, building and evaluating predictive models, and generating data visualizations to communicate results. They often meet with cross-functional teams to understand business needs, translate them into data projects, and present key findings. Additionally, they may write reproducible R scripts, maintain data pipelines, and document their methodologies. Collaboration, experimentation, and clear communication are integral parts of the role, enabling solutions that directly impact business outcomes.

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

To thrive as a Data Science R professional, you need solid expertise in statistics, machine learning, and programming in R, often supported by a degree in data science, statistics, or a related field. Experience with R-based data analysis libraries, visualization tools like ggplot2, and familiarity with databases or cloud platforms is typically expected; certifications in data science or R programming can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication with stakeholders help distinguish top performers in this role. These skills are essential for delivering actionable insights from complex datasets and driving data-informed decision-making within organizations.

Is R useful for data science?

Data Science R is a popular programming language used for statistical analysis, data visualization, and machine learning. It offers extensive libraries and tools that are widely adopted in data science workflows, making it a valuable skill for data analysts and data scientists. Proficiency in R can enhance data manipulation, modeling, and reporting capabilities in data science roles.

What are popular job titles related to Data Science R jobs in Phoenix, AZ?

For Data Science R jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Data Science R jobs in Phoenix, AZ look for?

The top searched job categories for Data Science R jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Data Science R jobs?

Cities near Phoenix, AZ with the most Data Science R job openings:

Data Science R jobs near you
Infographic showing various Data Science R job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Data Analyst

Connexzia

Scottsdale, AZ • On-site

Full-time

Re-posted 25 days ago

Job description


 Job Description:

We are seeking a detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, analyzing, and interpreting large datasets to provide actionable insights that drive business decisions. The ideal candidate has strong analytical skills, proficiency in data visualization tools, and experience working with databases and statistical analysis.

Key Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and insights.
  • Develop and maintain dashboards, reports, and data visualizations using tools like Power BI, Tableau, or Excel.
  • Use statistical techniques to interpret data and provide recommendations.
  • Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
  • Ensure data integrity and accuracy by implementing best practices for data management.
  • Automate data processes and improve reporting efficiency.
  • Present findings to stakeholders in a clear and concise manner.

Requirements:

  • Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in a data analytics role.
  • Proficiency in SQL, Python, R, or other data analysis tools.
  • Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.
  • Strong understanding of statistical analysis and data modeling.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data insights to non-technical stakeholders.

Preferred Qualifications:

  • Experience with machine learning, predictive analytics, or AI-driven analytics.
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience in a specific industry (e.g., finance, healthcare, e-commerce) is a plus.
  • 3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
  • Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
  • Advanced Excel skills, including macros, pivot tables, and complex formulas.


  Required Skills:

Pivot Tables
Azure
Business Analytics
Analysis
Modeling
Data Modeling
AWS
Attention To Detail
Excel
Visualization
Data Integrity
Data Management
Data Visualization
Healthcare
Data Science
Data Analytics
E-commerce
Analytical Skills
Statistics
Machine Learning
R
Forecasting
Analytics
Tableau
Power BI
Databases
Data Analysis
Computer Science
Finance
Python
SQL
Marketing
Business
Science
Sales
Management

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