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Remote Data Science Jobs in Rex, GA (NOW HIRING)

KPI Solutions

Supply Chain Data Analyst

Atlanta, GA · On-site +1

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation KPI Solutions is a leading supply chain and warehouse ...

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 ...

Truist

Decision Scientist II

Atlanta, GA · On-site +1

Must have a Bachelor's degree in Data Science, Analytics, Statistics, Finance or related quantitative field * Must have 3 years of experience in analytics or research positions performing/utilizing ...

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 ...

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 ...

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 ...

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 ...

Prolego

GenAI Systems Developer

Atlanta, GA · Remote

$185K - $215K/yr

Data Science Mindset: While this is not a data science position, you must demonstrate the ability ... Remote-First Team: Operate from anywhere in the continental U.S., with limited in-person client ...

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

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.

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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

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Infographic showing various Remote Data Science job openings in Rex, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Supply Chain Data Analyst

Atlanta, GA • On-site, Remote

KPI Solutions
See more jobs at KPI Solutionsexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Key responsibilities

  • Build and maintain curated datasets using Databricks and SQL-based reporting tables.

  • Ingest and manage pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda.

  • Develop analytics solutions such as forecasting, scenario modeling, and optimization to support decision-making.

Job description

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation
KPI Solutions is a leading supply chain and warehouse automation integrator helping companies transform distribution operations through intelligent software, robotics, automation, and data-driven solutions.
With expertise spanning WMS, automation, robotics, controls, and systems integration, KPI partners with customers to design and implement scalable solutions that improve throughput, efficiency, and operational performance across distribution and fulfillment environments.
As KPI continues to expand its Advanced Solutions Development organization, we are investing heavily in next-generation technologies that combine automation, analytics, and AI to shape the future of intralogistics and warehouse operations.
About the Role
We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI's Closed-Loop Design Program - an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle.
This role sits at the intersection of:
  • Data Engineering
  • Applied AI & Analytics
  • Supply Chain Automation
  • Solution Design

You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development.
This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered.
What You'll Deliver: High-Impact Use Cases
  • RFP & Specification Intelligence
    Extract requirements, generate compliance matrices, and identify clarifying questions automatically.
  • Cost & ROI Scenario Modeling
    Support data-driven decision-making through option comparisons and sensitivity analysis.
  • Proposal "Fact Pack" Automation
    Create scalable executive summaries and SOW-ready proposal content from governed datasets.
  • Design & Operational Analytics
    Analyze throughput, staffing models, slotting strategies, and replenishment impacts.
  • Benchmark-Driven Solution Guidance
    Leverage historical project data and comparable implementations to guide future designs.

What You'll Do
  • Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables.
  • Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control.
  • Develop applied analytics solutions including:
    • Forecasting
    • Scenario modeling
    • Optimization (LP/MILP or practical heuristics)
    • Similarity modeling and benchmarking
  • Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions.
  • Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy.
  • Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale.
What Success Looks Like
In this role, you will help KPI:
  • Accelerate proposal development with intelligent, governed "first draft" solution packs
  • Improve confidence and accuracy in complex automation pursuits
  • Build scalable benchmarking capabilities that improve operational estimates over time
  • Create data products that directly influence automation strategy and customer outcomes

Requirements
Required Qualifications
  • 4+ years of experience in:
    • Data Science
    • Analytics Engineering
    • Applied Machine Learning
      with proven production delivery experience.
  • Strong SQL skills including:
    • Data modeling
    • Query optimization
    • Governance-ready dataset development
  • Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms.
  • Strong Python experience preferred for:
    • Data preparation
    • Modeling
    • Workflow automation
  • Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders.
Preferred Qualifications
  • Experience in warehouse automation or intralogistics environments:
    • AMRs
    • AutoStore
    • Shuttle systems
    • Sortation
    • WES/WCS platforms
  • Experience with:
    • Forecasting
    • Optimization
    • Simulation / Digital Twin technologies
    • Decision-support analytics
  • Familiarity with document parsing and extraction workflows for RFP/specification processing.
  • Tableau experience including:
    • Curated dataset publishing
    • Dashboard performance optimization

Benefits
What we Offer:
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Health Care Concierge Service
  • 401(k) Retirement Plan (Pre-tax & Roth)
  • Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability
  • Voluntary Life & AD&D Insurance
  • Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
  • Pet Insurance
  • Milk Stork Program
  • Wellness Program with gift card redemption and wellness challenges
  • Paid Time Off (Vacation, Sick & 10 Holidays)
  • Training & Development

Why KPI Solutions?
At KPI Solutions, you'll be part of a team that values innovation, accountability, and continuous improvement. This is more than a reporting role-it's an opportunity to make a measurable impact on project success and business performance.
KPI Solutions provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by states, federal, or local law.

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