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Remote Data Science Jobs in Georgia (NOW HIRING)

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 ...

Atlanta Regional

Data Analyst, Principal

Atlanta, GA · On-site +1

$69K - $93K/yr

Regular Full-Time Remote Employment: Flexible/Hybrid Office: Office of the Chief Research ... Bachelor's degree in Economics, Statistics, Data Science, Urban/Regional Planning, Public Policy ...

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 ...

TEKsystems

Public Health Data Analyst

Atlanta, GA · Remote

$50 - $55/hr

Required Qualifications • Master's degree or higher in Economics, Public Health, Data Science ... remote position. Application Deadline This position is anticipated to close on Sep 16, 2026. About ...

New

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

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

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent work ...

YO AI Labs

Data Privacy Analyst - Remote

Atlanta, GA · Remote

$31 - $60/hr

Data Privacy Analyst Job Type: Contractor Location: Remote Job Overview We are seeking experienced Data Privacy Analysts to support a data privacy and AI training project focused on protecting ...

YO AI Labs

AI Consulting Expert - Remote

Atlanta, GA · Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

Siemens

$18 - $50/hr

Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial * Comfortable working in a fully remote environment within the United States of America. * Intelligence ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Georgia

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications 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, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Georgia?

The most popular types of Data Science jobs in Georgia are:

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

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

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

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

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

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

Remote Data Science jobs near you
Infographic showing various Remote Data Science 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.

Data Engineer (Fully Remote)

Atlanta, GA • On-site, Remote

PadSplit
Real Estate • 51 - 200 employees
Learn more about PadSplitexternal

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

The Role We Need
PadSplit is growing its analytics platform and needs a hands-on Data Engineer to work alongside our existing DE lead. This person will build and maintain ingestion and transformation pipelines across Dagster (or Airflow), dbt, and Snowflake, with supporting work in Python, Airbyte, and AWS. The role combines building new pipelines and data models with providing real coverage on critical paths - especially the daily Postgres - Snowflake - dbt flow and third-party API loads - all shipped through reviewed pull requests rather than one-off scripts.
The Person We Are Looking For
We're looking for a practitioner who thinks natively in dimensions, facts, and slowly changing dimensions - someone who knows when to use a full refresh versus an incremental load and how that choice affects idempotency and backfills. This person writes clear, reviewable PRs and gives equally thoughtful reviews, with attention to scoped diffs, sensible tests, and failure modes. They're comfortable in complex Python data flows and have enough AWS literacy to reason about task roles, buckets, and cross-account access without needing to own all of platform engineering.
Here's What You'll Be Doing Day-to-Day:
  • PR-driven shipping: Opening and merging pull requests for new or updated Dagster jobs, assets, schedules, and sensors, plus dbt models, tests, and documentation.
  • Infrastructure tweaks: Writing occasional Terraform for secrets, environment variables, or job sizing when a pipeline needs it.
  • Pipeline implementation: Building and debugging Python pipelines covering REST/API syncs, large Postgres extracts, Parquet loads, and Snowflake COPY operations.
  • Airbyte management: Configuring or troubleshooting Airbyte connections wherever managed sync is the right fit.
  • Production monitoring: Watching production runs and investigating failures related to IAM, OOM, Spot instances, or bad watermarks.
  • Backfills & catch-ups: Running backfills and incremental catch-ups with a clear story for what landed and why.
  • Modeling partnership: Working with analytics and product on dim/fct/x_fct design, incremental strategies, and data quality.
  • Code review & runbooks: Participating in code review, release prep, and writing short runbooks so others can operate your pipelines when you're out.

Here's What You'll Need to Be Successful:
  • Warehouse fundamentals: Solid grasp of relational databases and warehouse patterns - keys, grain, normalization vs. star schema, and how SCD behavior gets encoded.
  • Orchestration experience: Practical, hands-on Dagster (or Airflow) experience - not just writing SQL inside a scheduler UI.
  • dbt proficiency: Real experience building and maintaining models, tests, and documentation in dbt.
  • Python at scale: Comfort reading and writing Python that moves data at scale across extract, transform, and load steps.
  • AWS working knowledge: Practical familiarity with S3, IAM, and ECS/Fargate at a "debug my job" level.
  • EL tool familiarity: Experience with Airbyte or similar extract-and-load tools.
  • PR discipline: The discipline to write pull requests others can easily review, and to give equally rigorous reviews in return.
  • Reliability mindset: A track record of keeping pipelines healthy and modeling consistent across full refresh and incremental paths, without becoming a single point of failure.

The Interview Process:
  • Your application will be reviewed for possible next steps by a real human being from the PeopleOps team.
  • If you meet eligibility requirements, the next step would be a video interview with a member of the PeopleOps team for about thirty (30) minutes.
  • If warranted, the next step would be a video interview with our Principal Data Scientist for forty-five (45) minutes.
  • If warranted, the next step would be a video panel interview with key stakeholders at PadSplit for one and a half (1.5) hours.
  • If warranted, the next and final step would be a video interview with a key leader in the company for thirty (30) minutes.
  • If warranted, we move to offer!

Compensation, Benefits, and Perks:
  • Fully remote position - we swear!
  • Competitive compensation package including an equity incentive plan and company-wide bonus opportunity
  • National medical, dental, and vision healthcare plans
  • Company provided life insurance policy
  • Optional accidental insurances, FSA, and DCFSA benefits
  • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays
  • 401(k) plan
  • Twelve (12) weeks of paid time off for both birth and non-birth parents
  • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis

$150,000 - $165,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Atlanta, Georgia, this is a fully remote position. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
Notice to Applicants:
PadSplit participates in E-Verify. All new employees are required to complete an I-9 form and be authorized to work in the United States. Employment is contingent upon successful completion of the E-Verify process.
PadSplit is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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