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Remote Cfa Data Science Jobs in Newnan, 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 ...

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 ...

Random Bit

AWS Data Architect

Atlanta, GA · Remote

$65.25 - $84/hr

Bachelor's degree in information management, data science, statistics, public health, health ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

Random Bit

AWS Data Architect

Atlanta, GA · On-site +1

$130K - $165K/yr

Bachelor's degree in information management, data science, statistics, public health, health ... AWS Solution Architect - Associate This position can be remote and work hours must be based on ...

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 ...

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 ...

YO AI Labs

Corporate Finance Expert - Remote

Atlanta, GA · Remote

$50 - $100/hr

Ability to turn complex financial data into actionable insights. * Excellent written and verbal ... Corporate finance experience preferred over pure accounting. * CPA, CFA, FMVA, or MBA is a plus.

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

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Showing results 21-40

All JobsCfa Data Science JobsRemote Cfa Data Science JobsRemote Cfa Data Science Jobs in Newnan, GA

Remote Cfa Data Science information

See Newnan, GA salary details

$37.5K

$128.6K

$181.4K

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

As of Sep 4, 2026, the average yearly pay for remote cfa data science in Newnan, GA is $128,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $150,300.00 per year, depending on experience, location, and employer.

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

Remote Cfa Data Science jobs near you
Infographic showing various Remote Cfa Data Science job openings in Newnan, 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 $128,573 per year, or $61.8 per hour.

Workforce Planning Data Scientist - Remote

CBRE

Atlanta, GA • On-site, Remote

Full-time

Posted 17 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

110th 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.
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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

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