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Remote Data Scientist Jobs in Decatur, GA (NOW HIRING)

Unum UK

Data Scientist II - CX Analytics

Atlanta, GA · On-site +1

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Core Data Science Capabilities: Deep expertise in at least two of the following skillsets preferred ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Collaborate with analytics, data science, and ML project teams to productionize AI-enabled ...

Truist

Decision Scientist II

Atlanta, GA · On-site +1

Data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment. * Data Analysis techniques, EDA, Data Visualization to effectively ...

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 ...

KPI Solutions

Supply Chain Data Analyst

Atlanta, GA · On-site +1

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation KPI Solutions is a leading supply chain and warehouse ...

PadSplit

Data Engineer (Fully Remote)

Atlanta, GA · On-site +1

$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 ...

YO AI Labs

Biology Research Scientist - Remote

Atlanta, GA · Remote

$50 - $70/hr

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

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 ...

ArrowCore Group

Data Analyst

Marietta, GA · Remote

Title - Data Analyst Duration - Contract 6+ Months Location - Remote (US) What We Need: We're looking for a passionate Data Analyst for the Game Science & Insights (Analytics) team, to support two ...

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How much do remote data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote data scientist in Decatur, GA is $119,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What is a remote data scientist?

Remote data scientists are professionals who analyze and interpret complex data while working outside of a traditional office environment, typically from home or another remote location. They use statistical methods, machine learning, and programming to extract insights from data, helping organizations make data-driven decisions. Remote data scientists collaborate with teams virtually, often using tools for communication, data analysis, and project management. This flexible work arrangement allows for talent from anywhere to contribute to companies worldwide, provided they have reliable internet and the necessary technical skills.

What does a remote data scientist do?

Remote data scientists collect, confirm, and interpret data to determine useful information for their employer. Unlike in-house data scientists, remote data scientists work outside the office, either from home or another location with Wi-Fi accessibility. Remote data scientists help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information they get from the records they gather helps businesses make decisions in critical areas, such as product development, sales and marketing techniques, and client retention. You find remote data scientists in many different industries, including pharmaceuticals, manufacturing, and banking.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, usually demonstrated through a relevant degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required, along with certifications such as Microsoft Certified: Azure Data Scientist Associate or Google Professional Data Engineer. Excellent communication, problem-solving abilities, and self-motivation are critical soft skills for collaborating remotely and delivering insights to stakeholders. These skills are crucial for effectively analyzing data, building predictive models, and driving data-driven decisions in a distributed work environment.

How does a remote data scientist typically collaborate with team members across different time zones?

As a remote data scientist, effective collaboration across time zones often involves leveraging asynchronous communication tools like Slack, project management platforms, and version control systems such as Git. Regular virtual meetings are scheduled to accommodate overlapping hours, and clear documentation becomes crucial for keeping everyone aligned. Proactive communication, sharing progress updates, and setting clear expectations help ensure seamless teamwork despite geographical differences. This structure allows remote data scientists to contribute meaningfully while maintaining flexibility in their work schedules.

What is the difference between Remote Data Scientist vs Remote Data Analyst?

AspectRemote Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often requires programming skills in Python or RDegree in Analytics, Business, or related field; may require proficiency in Excel, SQL, and visualization tools
Work EnvironmentResearch-focused, developing models, machine learning, and predictive analyticsData interpretation, reporting, and visualization to support business decisions
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and consulting firms

Remote Data Scientists focus on building models and advanced analytics, while Remote Data Analysts interpret data and create reports. Both roles require strong analytical skills but differ in technical depth and project scope.

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Remote Data Scientist jobs near you
Infographic showing various Remote Data Scientist job openings in Decatur, GA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,834 per year, or $57.6 per hour.

Workforce Planning Data Scientist - Remote

Atlanta, GA • On-site, Remote

CBRE
Real Estate • 10K+ employees
Learn more about CBREexternal

Full-time

Posted 22 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

113th of 501 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.
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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

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