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Full Time Remote Data Scientist Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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

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 ...

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 ...

Danaher

Principal Clinical Scientist

Atlanta, GA · On-site +1

... remote based (can also be onsite in Chaska, MN). At Danaher Diagnostics, our vision is to be the ... Ability to critically review and interpret scientific and clinical trial data, and oversee the ...

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All JobsData Scientist JobsFull Time Remote Data Scientist JobsFull Time Remote Data Scientist Jobs in Georgia

Full Time Remote Data Scientist information

What is a full time remote data scientist?

A Full Time Remote Data Scientist is a professional who analyzes large and complex datasets to extract insights and build predictive models, while working remotely from a location outside of the traditional office. They use statistical techniques, machine learning, and programming skills to solve business problems and support decision-making. Working full time means they typically adhere to a standard workweek, collaborating virtually with team members and stakeholders. Remote data scientists often use online tools for communication, data access, and code sharing, allowing them to contribute effectively from anywhere with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a full time remote data scientist?

To thrive as a Full Time Remote Data Scientist, you need expertise in statistics, machine learning, and data analysis, usually supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and platforms such as SQL, TensorFlow, or cloud services is typically required. Strong problem-solving, communication skills, and self-motivation are essential soft skills for remote collaboration and project delivery. These skills and qualities are crucial for extracting actionable insights from data and effectively contributing to distributed teams.

How do remote data scientists typically collaborate with team members and stakeholders across different locations?

Remote data scientists often work closely with cross-functional teams, including engineers, product managers, and business analysts, using digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular virtual meetings, code reviews, and shared documentation help ensure alignment and transparency, even across time zones. Clear communication, proactive status updates, and well-documented code are essential for successful teamwork in a remote setting. Additionally, many organizations foster connection through virtual stand-ups and team-building activities to maintain a strong, cooperative work culture.

What is the difference between Full Time Remote Data Scientist vs Full Time Remote Data Analyst?

AspectFull Time Remote Data ScientistFull Time Remote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; often certifications in machine learning or data analysisDegree in Statistics, Mathematics, or related field; certifications in data analysis tools
Work EnvironmentCollaborates with data engineers, scientists, and product teams; focuses on modeling and predictive analyticsWorks with business teams; focuses on data reporting, visualization, and descriptive analytics
Industry UsageUsed across tech, finance, healthcare, and e-commerce industriesCommon in retail, marketing, finance, and healthcare sectors

Full Time Remote Data Scientists typically handle complex modeling and predictive tasks, requiring advanced skills and certifications, while Data Analysts focus on interpreting data and creating reports. Both roles are remote-friendly and essential across various industries, but their core responsibilities differ significantly.

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

The most popular types of Remote Data Scientist jobs in Georgia are:

What are popular job titles related to Full Time Remote Data Scientist jobs in Georgia?

For Full Time Remote Data Scientist jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Full Time Remote Data Scientist jobs in Georgia look for?

The top searched job categories for Full Time Remote Data Scientist jobs in Georgia are:

What cities in Georgia are hiring for Full Time Remote Data Scientist jobs?

Cities in Georgia with the most Full Time Remote Data Scientist job openings:

Full Time Remote Data Scientist jobs near you

Data Engineer (Fully Remote)

PadSplit

Atlanta, GA • Remote

$150K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Key responsibilities

  • Build and maintain data ingestion and transformation pipelines using Dagster (or Airflow), dbt, and Snowflake.

  • Open and merge pull requests for pipelines, models, tests, and documentation, and participate in code reviews.

  • Monitor production runs, troubleshoot failures, and perform backfills and incremental data updates.

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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