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Python R Jobs in Atlanta, GA (NOW HIRING)

MM International

Google Analytics Architect

Atlanta, GA · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. * Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). * Experience with ...

AIG

AI Model Validation Lead, GenAI

Atlanta, GA · On-site

... Python, R, or Java, and familiarity with ML frameworks. • Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending ...

W&M Environmental Group

Air Modeler

Atlanta, GA · Remote

$80K - $119K/yr

Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows, QA checks, post-processing, and visualization. Familiarity with federal, state(s), and local air ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization ...

RaceTrac

Analytics Consultant

Atlanta, GA · On-site

... Python, R). • Utilize data visualization tools to create clear and impactful presentations. • Stay abreast of emerging analytical techniques and technologies. • Troubleshoot and resolve ...

Inspire Brands

Data Scientist

Atlanta, GA

Spark, Python, R, SQL, GitVersion Control,AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

Inspire Brands

Data Scientist

Atlanta, GA

Spark, Python, R, SQL, GitVersion Control,AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

Inspire Brands, Inc.

Data Scientist

Sandy Springs, GA · On-site

Spark, Python, R, SQL, Git Version Control, AWS/Azure/GCP Inspire is a multi-brand restaurant company whose portfolio includes more than 33,000 Arby's, Baskin-Robbins, Buffalo Wild Wings, Dunkin ...

Publicis Groupe Holdings B.V

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Python, R, etc. * Support implementation of business intelligence and marketing automation solutions * Strong understanding of data hygiene, merge/purge, and transformations processes * Translate ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries) * SQL proficiency for data extraction and transformation * Experience utilizing version control tools ...

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How much do python r jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for python r in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What is a Python R job?

A Python R job typically involves working with both Python and R programming languages for data analysis, machine learning, and statistical computing. Professionals in this role use Python for automation, data engineering, and machine learning, while leveraging R for statistical modeling and data visualization. These roles are common in industries like finance, healthcare, and research, where data-driven decision-making is crucial. Candidates for this job should have expertise in both languages, along with skills in data manipulation, visualization, and algorithm development.

What are the typical responsibilities of a professional working with both Python and R programming languages?

Professionals leveraging both Python and R often handle a variety of data-centric tasks, including data cleaning, analysis, statistical modeling, and visualization to support business or research objectives. Daily responsibilities can range from developing machine learning models in Python, creating reproducible analyses in R, to integrating outputs for reporting and presentations. Collaboration with data engineers, domain experts, or business stakeholders is common, requiring effective communication to translate technical insights into actionable recommendations. Familiarity with both languages allows for flexibility in choosing the best tools for each project, making these roles both challenging and rewarding.

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

To thrive as a Python R professional, you need a strong background in programming, data analysis, and statistical modeling, typically holding a degree in computer science, statistics, mathematics, or a related field. Proficiency in Python and R programming languages, alongside experience with data visualization tools (e.g., Matplotlib, ggplot2) and statistical packages, is essential; certifications like Data Science or Analytics credentials are often advantageous. Excellent problem-solving abilities, attention to detail, and clear communication skills help in collaborating with teams and conveying complex results. These combined skills enable effective data-driven decision-making, efficient workflow, and impactful data solutions.

What are the most commonly searched types of Python R jobs in Atlanta, GA? The most popular types of Python R jobs in Atlanta, GA are:
What are popular job titles related to Python R jobs in Atlanta, GA? For Python R jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python R jobs in Atlanta, GA look for? The top searched job categories for Python R jobs in Atlanta, GA are:
Python R jobs near you
Google Analytics Architect

Google Analytics Architect

MM International

Atlanta, GA • On-site

Contractor

Posted 9 days ago

Job description

Google Analytics Architect

Atlanta, GA
 

We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google Big Query, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact.

 

Key Responsibilities:

  1. Data Strategy Development:
    1. Define and implement the organization's data analytics strategy aligned with business goals.
    2. Identify and prioritize key analytics projects to optimize decision-making and performance.
  2. Team Leadership:
    1. Lead, mentor, and manage a team of analysts and data professionals.
    2. Foster a collaborative and innovative team environment.
  3. Data Analysis and Insights:
    1. Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
    2. Provide actionable recommendations to stakeholders across departments.
  4. Tool and Technology Management:
    1. Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
    2. Ensure data systems are scalable and optimized for business needs.
  5. Stakeholder Collaboration:
    1. Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
    2. Present findings and insights in a clear and impactful manner to non-technical stakeholders.
  6. Data Governance:
    1. Establish and enforce data governance policies and practices.
    2. Ensure compliance with data security and privacy regulations.

 

Qualifications:

  1. Education:
    1. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  2. Experience:
    1. Proven experience (10+ years) in analytics, business intelligence, or a related domain.
    2. Prior experience in managing or leading teams is preferred.
  3. Technical Skills:
    1. Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
    2. Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
    3. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
    4. Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
  4. Soft Skills:
    1. Excellent problem-solving and critical-thinking skills.
    2. Strong communication and interpersonal skills to interact with stakeholders at all levels.
  5. Certifications (Preferred):
    1. Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification..