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

... R, and BOXI skills • Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and ...

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 ...

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 ...

Data Scientist (AHL)

Tempe, AZ · On-site

$150 - $200/hr

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 ...

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 ...

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 ...

Bachelor's degree in Data Science, Computer Science, or related field * Proven experience as a Data ... Proficiency in data analysis tools and software (e.g., SQL, Python, R) * Experience with data ...

Showing results 21-40

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 Sep 9, 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 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:

Infographic showing various Data Science R job openings in Phoenix, AZ as of September 2026, with employment types broken down into 1% As Needed, 69% Full Time, 12% Part Time, 3% Temporary, 10% Contract, and 5% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Data Scientist

Tempe, AZ • On-site

1872 Consulting
IT Services • 11 - 50 employees

Full-time

Re-posted 9 days ago


Key responsibilities

  • Produce analytics to support product decisions, including pricing optimization and segmentation.

  • Automate recurring reporting processes and enable partners to self-serve data and analysis needs.

  • Collaborate with cross-functional teams to interpret data, develop insights, and provide actionable recommendations.


Job description

Job Summary:
1872 Consulting is a company seeking a Data Scientist to produce analytics that drive product decisions and maximize revenue. The role involves supporting product teams with data-driven insights, automating reporting processes, and collaborating with various teams to resolve business problems.
Responsibilities:
• Produce essential analytics that enable product decisions to maximize revenue (e.g., pricing optimization and segmentation), support product initiatives (i.e., analytics that support agile initiative sizing or adjustments when needed), and provide deep understanding of rising trends
• Support product advisors and sales teams by identifying potential risks and opportunities via data-driven analytics
• Automate recurring reporting and empower partners to self-serve for regular data and analysis needs
• Develop efficient and scalable processes by leveraging data skills and visualization tools (Tableau, etc.) that empower Product Management team and partners to self-serve for regular data and analysis needs
• Research, analyze, and interpret large data sets to develop data-driven insights
• Partner with teams such as product analytic specialists, product managers, business managers, and other analytical teammates to understand data and resolve business problems
• Translate business issues into data problems and use analytics to provide actionable solutions/recommendations that support overall product strategy
• Exercise creativity, critical thinking, analytical thinking, and collaboration to solve problems
• Develop spreadsheet and/or statistical models using a combination of banking and product knowledge, statistical techniques, and machine learning/optimization techniques
• Assist in querying data and creating metrics for product performance monitoring and analysis
• Lead and support data needs for special projects
• Participate in strategic planning of projects and initiatives
• Apply sound judgment in determining how to collect, interpret, transform, and analyze data to produce meaningful results
• Routinely recommend analytical solutions, data mining approaches, and scenario analysis to solve business problems
• Execute tasks independently and exercises judgment based on the analysis of multiple resources
Qualifications:
Required:
• Strong data knowledge with the ability to distill and synthesize various data into cohesive insights, analysis, and/or recommendation.
• Knowledge of statistical modeling methods, machine learning algorithms, and various advanced analytic techniques.
• Intellectual curiosity
• Collaborative work style and approach to problem solving
• Strong analytical and problem-solving skills
• Knowledgeable in data science project methodologies
• Strong Data analysis Skills
• Thought Leadership skills
• Process management skills
• Effective time management and organizational skills
• Strong written and verbal communication skills
• Flexibility to work and manage variety of projects
• Strong attention to detail
• Tableau building knowledge and strong SQL experience, also SAS, R, and BOXI skills
• Bachelor or Masters in Engineering, Math, Computer Science, Econometrics, Statistics, Operational Research, or equivalent analytical or technical fields that use large data and statistics
Preferred:
• Knowledge of bank products (e.g., credit cards, payments, deposits, and cash management products used by business and commercial clients)
• 5+ years of banking experience, analytics and/or business intelligence space
• Knowledge of banking core systems, products and technology
• Some UX design skill and knowledge
Company:
1872 Consulting is a recruitment and IT consulting company. Founded in 1872, the company is headquartered in Chicago, USA, with a team of 11-50 employees. The company is currently Early Stage.

1872 Consulting logo

About 1872 Consulting

Sourced by ZipRecruiter

1872 Consulting, based in Chicago, IL, USA, operates within the IT consulting industry. Armed with a diverse team of experts, the company offers specialized IT consulting services, focusing on modernizing business technologies and driving innovative business strategies. Established in 1872, the company has a rich history marked by its commitment to bridging the gap between businesses and technology. Its mission is to empower organizations to surpass their business goals by providing state-of-the-art IT solutions and service. The company prides itself on its core values of integrity, excellence, and innovation, instilling these principles in every project they undertake.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Chicago, IL, US

Year founded

2014