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Full Time Data Analyst R Programming Jobs in Ames, IA

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Life Cycle Analyst Specialist

Ames, IA · On-site

The LCA Specialist role is a critical part of the team and will coordinate data collection ... Education - Chemical engineering, Environmental engineering, or related degree * Proficiency in ...

DataAnnotation

Economic Analyst - AI Trainer

Nevada, IA · On-site +1

$40/hr

Whether your background is in data science, astrophysics, economics, biostatistics, operations ... Some team members fit this work alongside a full-time role, while others treat it as their primary ...

Mom's Meals

Sr Data Integration Engineer

Ankeny, IA · On-site +1

$97.50K - $131.20K/yr

The Senior Data Integration Engineer is responsible for managing, securing, and optimizing the ... Perform root-cause analysis and implement resiliency strategies * Manage cert and key lifecycles ...

Mom's Meals

Sr Data Integration Engineer

Ankeny, IA · On-site +1

$97.50K - $131.20K/yr

The Senior Data Integration Engineer is responsible for managing, securing, and optimizing the ... Perform rootcause analysis and implement resiliency strategies * Manage cert and key lifecycles ...

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Full Time Data Analyst R Programming information

See Ames, IA salary details

$33.3K

$80.8K

$133K

How much do full time data analyst r programming jobs pay per year?

As of May 29, 2026, the average yearly pay for full time data analyst r programming in Ames, IA is $80,838.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Data Analyst R Programming vs Data Scientist?

AspectFull Time Data Analyst R ProgrammingData Scientist
Required SkillsData analysis, R programming, SQL, ExcelData analysis, R/Python, machine learning, statistics
Work EnvironmentBusiness, finance, healthcare, corporate settingsResearch, tech companies, startups, academia
CertificationsData analysis, R certifications, SQL certificationsData science, machine learning, Python/R certifications

Full Time Data Analysts R Programming focus on analyzing data using R, often within business environments, while Data Scientists employ advanced statistical and machine learning techniques to extract insights, often working on complex models and algorithms. Both roles require strong analytical skills, but Data Scientists typically have a broader skill set including programming languages like Python and expertise in machine learning.

What are the most commonly searched types of Data Analyst R Programming jobs in Ames, IA? The most popular types of Data Analyst R Programming jobs in Ames, IA are:
What are popular job titles related to Full Time Data Analyst R Programming jobs in Ames, IA? For Full Time Data Analyst R Programming jobs in Ames, IA, the most frequently searched job titles are:
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Full Time Data Analyst R Programming jobs near you
Marketing Data Scientist - AI Trainer

Marketing Data Scientist - AI Trainer

DataAnnotation

Nevada, IA • On-site, Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full-time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, starting at $40+ USD per hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well-documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end-to-end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Note: Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #datascience #J-18808-Ljbffr

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