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Postdoc Data Science Remote Jobs in Georgia (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... Bachelor's degree in Computer Science, Data Science, or Information Technology Nice If You Have:

Aimpoint Digital

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

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

micro1 AI

Senior Scientific Reviewer - Physics

Augusta, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

Senior Scientific Reviewer - Physics

Savannah, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

Senior Scientific Reviewer - Physics

Columbus, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

Senior Scientific Reviewer - Physics

Athens, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

Senior Scientific Reviewer - Physics

Atlanta, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

micro1 AI

Senior Scientific Reviewer - Physics

Macon, GA · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In ...

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 · 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 ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

micro1 AI

Physics Modeling Expert - Remote

Atlanta, GA · Remote

$80 - $140/hr

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your ...

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Postdoc Data Science Remote information

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Georgia?

For Postdoc Data Science Remote jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Postdoc Data Science Remote jobs in Georgia look for?

The top searched job categories for Postdoc Data Science Remote jobs in Georgia are:

What cities in Georgia are hiring for Postdoc Data Science Remote jobs?

Cities in Georgia with the most Postdoc Data Science Remote job openings:

Postdoc Data Science Remote jobs near you
Infographic showing various Postdoc Data Science Remote job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Workforce Planning Data Scientist - Remote

CBRE

Atlanta, GA • On-site, Remote

Full-time

Posted 8 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 351 frontline employees who took The Breakroom Quiz

107th of 496 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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What CBRE employees say

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Benefits

Hours and flexibility

Workplace

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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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