ZipRecruiter

Log In

2

Remote Machine Learning Quant Jobs in Georgia (NOW HIRING)

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to structure ambiguous ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows. * Ability to structure ambiguous ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Experience with Machine Learning, AI, or NLP * Experience with visualization packages, including ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

Operating at the intersection of Data Science, Machine Learning Engineering, and Software Engineering, this hands-on role translates AI concepts into enterprise-ready products. This role involves ...

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 ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

THE ROLE The machine learning team sits at the heart of our technology and delivers on the core ... Familiarity with agile and working in a remote & asynchronous team We are looking for talented ...

previous page

Showing results 41-60

All JobsMachine Learning Quant JobsRemote Machine Learning Quant JobsRemote Machine Learning Quant Jobs in Georgia

Remote Machine Learning Quant information

What is the difference between Remote Machine Learning Quant vs Remote Data Scientist?

AspectRemote Machine Learning QuantRemote Data Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or financeDegrees in data science, statistics, or related fields; certifications like CAP or DASCA
Work EnvironmentFinancial firms, hedge funds, or quantitative trading companiesTech companies, research institutions, or consulting firms
Industry UsageFinance, trading, hedge fundsTechnology, healthcare, marketing, finance
Common Search/ComparisonYesNo

Remote Machine Learning Quants focus on developing quantitative models for trading and investment strategies within financial firms, often requiring finance-specific knowledge. Remote Data Scientists work across various industries, applying data analysis and machine learning to solve diverse business problems. While both roles involve machine learning, Quants are more finance-oriented, whereas Data Scientists have broader industry applications.

What are the most commonly searched types of Machine Learning Quant jobs in Georgia?

The most popular types of Machine Learning Quant jobs in Georgia are:

What are popular job titles related to Remote Machine Learning Quant jobs in Georgia?

For Remote Machine Learning Quant jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Quant jobs in Georgia look for?

The top searched job categories for Remote Machine Learning Quant jobs in Georgia are:

What cities in Georgia are hiring for Remote Machine Learning Quant jobs?

Cities in Georgia with the most Remote Machine Learning Quant job openings:

Remote Machine Learning Quant jobs near you
Infographic showing various Remote Machine Learning Quant job openings in Georgia as of August 2026, with employment types broken down into 5% Internship, 59% Full Time, 13% Part Time, and 23% Contract. Highlights an 100% Remote job distribution.

Data Scientist

Revenue Analytics

Atlanta, GA • On-site, Remote

$95K - $110K/yr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Build machine learning and AI solutions to support pricing, forecasting, and revenue management decisions in hospitality.

  • Analyze large datasets to identify patterns, risks, and opportunities, and develop practical recommendations or product capabilities.

  • Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights.

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like - turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor's or Master's degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
$95,000 - $110,000 a year
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics' next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
apply for this job

Apply