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Remote Data Science R Jobs in Johns Creek, GA (NOW HIRING)

Federal Reserve Bank of Richmond

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

... science to accelerate value, delivery and outcomes for the business. The Data Architect will ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

Preferably Possessing a Master's degree in Science or Engineering (Computer Science, Mathematics ... Familiarity with agile and working in a remote & asynchronous team We are looking for talented ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists and analysts to understand data needs and business goals ... Flexible work environment and remote work options. Join us and be part of a team building ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

If warranted, the next step would be a video interview with our Principal Data Scientist for forty ... Fully remote position - we swear! * Competitive compensation package including an equity incentive ...

Atlanta Regional

Data Analyst, Principal

Atlanta, GA · On-site +1

$69K - $93K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Statistics, Data Science, Urban/Regional Planning, Public Policy ...

IQVIA

Senior Data Team Lead (Remote)

Atlanta, GA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

... Science, Information Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data ...

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Showing results 41-60

All JobsData Science R JobsRemote Data Science R JobsRemote Data Science R Jobs in Johns Creek, GA

Remote Data Science R information

See Johns Creek, GA salary details

$34.8K

$113.8K

$182.1K

How much do remote data science r jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data science r in Johns Creek, GA is $113,768.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $126,100.00 per year, depending on experience, location, and employer.

What is a remote data science R?

Remote Data Science R jobs are positions that involve using the R programming language to analyze and interpret data, build statistical models, and generate insights, all while working from a remote location. These roles typically require strong skills in data manipulation, visualization, and statistical analysis using R. Professionals in these positions may work for companies in various industries, collaborating with teams online and leveraging cloud-based tools. Remote Data Science R jobs offer flexibility, allowing individuals to work from home or anywhere with a reliable internet connection.

How do remote data science R professionals typically collaborate with cross-functional teams while working from different locations?

Remote Data Science R professionals often use a combination of communication platforms (like Slack, Microsoft Teams, or Zoom) and project management tools (such as Jira or Trello) to stay connected with colleagues in engineering, product management, and business analysis. Sharing code and models through version control systems (like Git) and documenting workflows in shared repositories helps maintain transparency and collaboration. Regular virtual meetings and presentations are crucial for aligning goals, discussing progress, and receiving feedback. This collaborative approach ensures that data-driven insights effectively support organizational objectives, even in a distributed work environment.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, expertise in statistics, programming (Python or R), and typically a degree in data science, computer science, or a related field. Familiarity with data analysis tools, machine learning frameworks (like TensorFlow or scikit-learn), and cloud platforms (such as AWS or Google Cloud) is commonly required. Outstanding problem-solving, self-motivation, and effective virtual communication skills help you excel in remote environments. These abilities are essential for deriving actionable insights from data and collaborating efficiently across distributed teams.

What is the difference between Remote Data Science R vs Remote Data Analyst?

AspectRemote Data Science RRemote Data Analyst
Required SkillsStatistical analysis, R programming, data modeling, machine learningData visualization, basic statistical analysis, Excel, SQL
CertificationsR certifications, data science certificates, possibly advanced degreesData analysis certifications, Excel, SQL courses
Work EnvironmentCollaborative teams, research projects, data science platformsReporting, dashboards, business insights
Industry UsageTech, finance, healthcare, research institutionsMarketing, retail, finance, operations

Remote Data Science R roles focus on advanced statistical modeling and machine learning using R, often requiring specialized certifications and working on complex data projects. Remote Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles involve data handling, Data Science R positions demand deeper technical expertise and programming skills.

What are popular job titles related to Remote Data Science R jobs in Johns Creek, GA?

For Remote Data Science R jobs in Johns Creek, GA, the most frequently searched job titles are:

What cities near Johns Creek, GA are hiring for Remote Data Science R jobs?

Cities near Johns Creek, GA with the most Remote Data Science R job openings:

    Remote Data Science R jobs near you
    Infographic showing various Remote Data Science R job openings in Johns Creek, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,768 per year, or $54.7 per hour.

    Workforce Planning Data Scientist - Remote

    CBRE

    Atlanta, GA • On-site, Remote

    Full-time

    Posted 19 days ago

    CBRE rating

    8.1

    Company rating: 8.1 out of 10

    Based on 354 frontline employees who took The Breakroom Quiz

    111th of 500 rated business services

    Job description

    About the Role:
    The Workforce Planning Data Scientist will turn complex recruiting, staffing, workforce, and operational data into clear insights that enable better and faster business decisions.
    This role blends data analytics, dashboard development, workforce forecasting, and foundational data engineering. The successful candidate will be comfortable working with large and complex datasets, reconciling information from multiple sources, developing scalable reporting solutions, identifying trends, and translating findings into practical recommendations for recruiting and workforce leadership.
    While this is not a traditional Data Scientist or Data Engineer position, the role requires someone who can think beyond reporting what happened. The analyst should be able to determine why it happened, what is likely to happen next, and what actions should be considered as a result.
    What You'll Do:
    Workforce Analytics & Decision Support
    • Analyze workforce, recruiting, staffing, attrition, requisition, offer, start, and productivity data to identify trends, risks, and opportunities.
    • Evaluate staffing performance across sites, business units, roles, and time periods.
    • Analyze historical attrition patterns to identify where future hiring demand is likely to occur.
    • Develop models and recommendations that help determine when and where requisitions should be opened proactively.
    • Identify trends across weekly, monthly, quarterly, and historical workforce performance.
    • Analyze relationships between staffing levels, attrition, hiring activity, requisition volume, recruiter productivity, and hiring outcomes.
    • Conduct ad hoc analyses in response to evolving workforce and leadership priorities.
    Forecasting & Predictive Analysis
    • Build workforce forecasts incorporating staffing requirements, active headcount, attrition, projected starts, hiring velocity, and historical trends.
    • Identify emerging staffing risks before they materially impact operations.
    • Develop scenario analyses to evaluate different hiring and attrition assumptions.
    • Identify leading indicators that can improve workforce planning and recruiting decisions.
    • Assess whether workforce and recruiting performance is trending toward or away from established targets.
    Dashboard Development & Visualization
    • Design and maintain intuitive dashboards that translate complex datasets into clear, actionable information.
    • Develop reporting for staffing health, recruiter productivity, requisition aging, time to offer, hiring outcomes, attrition, projected starts, and workforce demand.
    • Create leadership level views that allow users to quickly understand performance, risks, trends, and required actions.
    • Continuously improve dashboards based on business needs and user feedback.
    Data Management & Engineering
    • Work with multiple data sources and large datasets that may contain hundreds of thousands to millions of records.
    • Clean, transform, combine, and structure data for analysis and reporting.
    • Understand data pipelines, relationships, joins, data models, and source/system dependencies.
    • Partner with Data Engineering and BI resources on more complex data architecture and pipeline requirements.
    • Automate repeatable reporting and data preparation processes when practical.
    • Troubleshoot data inconsistencies and reconcile conflicting numbers across systems
    Data Quality & Governance
    • Validate and reconcile workforce metrics before they are used for business decisions.
    • Identify data quality issues, missing information, duplicate records, inconsistent definitions, and source/system discrepancies.
    • Establish clear metric definitions and calculation logic.
    • Ensure leadership reporting is consistent, repeatable, and explainable.
    What You'll Need:
    • Bachelor's Degree preferred with 5 plus years of relevant experience in talent acquisition analytics, workforce planning, or people analytics. In lieu of a degree, a combination of experience and education will be considered.
    • Demonstrated experience analyzing complex, high volume datasets.
    • Strong experience developing dashboards and executive level reporting.
    • Experience performing trend analysis, forecasting, and scenario modeling.
    • Demonstrated ability to reconcile data across multiple systems and identify data quality issues.
    • Experience translating complex analytical findings into understandable business recommendations.
    • Workforce planning, recruiting analytics, HR analytics, operations, or high-volume staffing experience strongly preferred.
    • Advanced SQL
    • Advanced Excel, including Power Query, PivotTables, XLOOKUP/INDEXMATCH, complex formulas, and large dataset management
    • Power BI dashboard development experience
    • Data modeling and relational database concepts
    • ETL/ELT concepts
    • Python, particularly Pandas and NumPy
    • Familiarity with APIs and automated data ingestion
    • Experience with cloud data environments or data warehouses
    • Familiarity with Power Automate or similar workflow automation tools
    • Experience with ATS, HRIS, workforce management, or recruiting datasets
    • Experience building workforce planning or capacity models
    • Understanding of basic regression, correlation, seasonality, and forecasting methodologies

    Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
    Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).
    CBRE GWS
    CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.
    Find out more

    What CBRE employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

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    About CBRE

    Sourced by ZipRecruiter

    The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

    Industry

    Real estate

    Company size

    10,000+ Employees

    Headquarters location

    Dallas, TX, US

    Year founded

    1906

    Social media

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