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

Dlapiper

Data Scientist

Atlanta, GA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Kaizen Analytix LLC

Data Scientist

Atlanta, GA · On-site +1

Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial ...

Kaizen Analytix

Data Scientist

Atlanta, GA · Remote

$60/hr

Remote Travel Required : N/A About Kaizen Kaizen Analytix is a global technology consulting firm that helps organizations unlock the full value of their data through advanced analytics, artificial ...

Kemper

Data Scientist

Alpharetta, GA · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

YO AI Labs

AI Data Scientist Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Charter Global

Data Scientist

Atlanta, GA · Remote

... and remote resources to get the job done - consistently Here is the Job details: Title: Data ... The Data Scientist sifts through all incoming data with the goal of discovering previously hidden ...

Munich Re

Data Scientist

Atlanta, GA · On-site +1

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on developing and maintaining predictive models that support all domains across the business. In this role ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

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 ...

Home Depot

Data Scientist - People Analytics

Atlanta, GA · On-site +1

The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, and improved candidate/associate experiences. This role applies ...

Omnissa

Senior Data Scientist

Atlanta, GA · On-site +1

$146K - $304K/yr

As a Senior Data Scientist, you will lead and innovate within the data science team to drive significant advancements in our AI/ML and data analytics capabilities. This is a hands-on role, and you ...

Zeta Global

Senior Data Scientist

Atlanta, GA · On-site +1

$160K - $180K/yr

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

YO AI Labs

AI Data Science Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

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 ...

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All JobsData Scientist JobsRemote Data Scientist JobsRemote Data Scientist Jobs in Decatur, GA

Remote Data Scientist information

See Decatur, GA salary details

$36.6K

$119.8K

$191.8K

How much do remote data scientist jobs pay per year?

As of Sep 11, 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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The most popular types of Data Scientist jobs in Decatur, GA are:

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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.

Data Scientist (Remote)

Atlanta, GA • Remote

Talon Hiring Solutions
Recruiting and Staffing Services • 1 - 10 employees
Learn more about Talon Hiring Solutionsexternal

$200K - $225K/yr

Full-time

Posted yesterday

New

Job description

Talon Hiring Solutions has a clienthat is looking for a Data Scientist to join the Data and Analytics Team.  This team owns the development of insights from extraction that power decision-making.  The role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems.  You will own the statistical modeling and feature engineering that exists in the data.  Our client is a customer-driven company that values innovation, collaboration, curiosity, and delivering results. The team works together to build products and experiences that make a meaningful difference for customers.

*This role is fully remote with some travel to the home office in Birmingham, AL*

What You'll Do
  • Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
  • Transform complex data into actionable insights that support business and customer decisions.
  • Develop and maintain features and training datasets within Snowflake and dbt.
  • Use Python and SQL to perform feature engineering, statistical analysis, and machine learning.
  • Validate and monitor model performance using appropriate metrics such as precision, recall, and AUC.
  • Deliver model outputs that can be integrated into BI tools and downstream platforms.
  • Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
  • Translate ambiguous business questions into well-defined modeling and analytics requirements.
  • Document models, features, assumptions, data lineage, experiments, and results to ensure solutions are reliable and reproducible.
  • Track and manage experiments using MLflow or similar tools.
  • Continuously improve data science, feature engineering, and predictive modeling capabilities.
What You'll Bring
  • 4+ years of hands-on experience in Data Science, Machine Learning, Analytics, or a related field.
  • Proven experience building and deploying predictive models in a business environment.
  • Strong Python skills, including experience with pandas, scikit-learn, and related data science libraries.
  • Strong SQL skills and experience working with large or complex datasets.
  • Experience with classification and regression modeling and model evaluation techniques.
  • Experience working with Snowflake or a similar cloud data platform.
  • Experience with Git, version control, code reviews, and standard software development practices.
  • Experience with feature engineering and building datasets for machine learning models.
  • Ability to turn ambiguous business problems into practical, data-driven solutions.
  • Strong communication skills and the ability to explain technical findings to non-technical audiences.
  • Strong documentation and organizational skills.
  • A collaborative, curious, and results-oriented mindset.
  • Experience in retail, CPG, consumer technology, or consumer hardware.
  • Experience with Snowpark, Snowflake ML Functions, dbt, or MLflow.
  • Experience working with feature stores.
  • Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.