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

4P Consulting Inc.

Data Scientist 1

Atlanta, GA · On-site

As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with ...

Socket.dev

Lead Insurance Data Scientist

Sandy Springs, GA · On-site

$100 - $150/hr

The Data Scientist role is a unique opportunity for actuaries and data scientists who want to apply ... Join our Enterprise Data & Analytics team and play a central role in advancing data analysis ...

Revenue Analytics

Data Scientist

Atlanta, GA · On-site

$95 - $110/hr

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 ...

4P Consulting Inc.

DATA SCIENTIST

Forest Park, GA

A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover ... Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, 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 ...

Revenue Analytics

Data Scientist

Atlanta, GA · Remote

$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

$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 ...

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Job ID: 65041 Data Scientist Client: City of Atlanta- Aviation Duration: Location: 6000 N. Terminal ... Provide deep analytical insights to solve complex business problems using statistical models ...

Charter Global

Data Scientist

Atlanta, GA · Remote

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Oversees and performs end ... Defines the data analytics research plan, scope and resources required to meet the objectives of ...

Charter Global

Data Scientist

Atlanta, GA · On-site

Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months • Oversees and performs ... This includes:- Analyzing the data and identifying data sources- Determining appropriate types of ...

United Airlines

Data Scientist

Atlanta, GA · On-site

Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that ... Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics ...

Crh-bc0817a9

Data Scientist

Atlanta, GA · On-site

$120 - $160/hr

Data Scientist (525066) CRH is a leading global diversified building materials group, employing ... Develop clear analytical reports and visualizations to communicate insights from exploratory ...

CRH

Data Scientist

Atlanta, GA · On-site

Data Scientist CRH Americas Corporate Atlanta, Georgia, United States Job ID: 525066 CRH is a ... Develop clear analytical reports and visualizations to communicate insights from exploratory ...

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

Data Analyst Data Scientist information

See Decatur, GA salary details

$44.9K

$161.1K

$237.7K

How much do data analyst data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analyst data scientist in Decatur, GA is $161,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $166,000.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What job categories do people searching Data Analyst Data Scientist jobs in Decatur, GA look for? The top searched job categories for Data Analyst Data Scientist jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Analyst Data Scientist jobs? Cities near Decatur, GA with the most Data Analyst Data Scientist job openings:
Data Analyst Data Scientist jobs near you

Supply Chain Data Analyst / Data Scientist

KPI Solutions

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

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.

Apply