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 helpi…
Skills: SQL, Python, Databricks, Data Modeling, Machine Learning
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Full-time
Medical Insurance, Dental Insurance, Vision Insurance, Health Care Concierge Service, 401(k) Retirement Plan, Basic Life Insurance
Posted 16d ago
~40 hrs/week
Remote in Atlanta, Georgia, United States
Responsibilities
Build and scale the Closed-Loop Design Program by developing AI-driven insights and automated tools for pre-sales engineering and proposal development. Maintain curated datasets in Databricks to improve automation design accuracy and operational benchmarking.
Requirements
Requires 4+ years of experience in Data Science, Analytics Engineering, and production-level Machine Learning. Proficiency in SQL and Databricks is essential, with strong Python skills preferred for modeling and automation.
Full 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.
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
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
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
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.
Transportation, Logistics, Supply Chain and Storage
Company size
201-500 employees
Headquarters
Belton, Missouri
LinkedIn followers
29,596
KPI Solutions provides end-to-end supply chain services and automation to transform our clients’ distribution operations. We analyze, design, implement, and support flexible and scalable engineered solutions that optimize order fulfillment, build capacity, and reduce reliance on labor. Our data-driven operations strategy delivers resilient designs and our technology-neutral approach allows a blend of automated technologies for a customized solution. Our comprehensive offerings include consulting, network strategy, engineered facility design, material handling systems integration, robotics, intelligent warehouse software, and lifetime services.
Offices: 801 W Markey Rd, Belton, Missouri 64012, US · 5716 West River Drive NE, Belmont, MI 49306, US · 11475 Great Oaks Way, Suite 345, Alpharetta, GA 30022, US · 50 E Business Way, 300, Cincinnati, Ohio 45241, US · 3025 S Parker Rd, 130, Aurora, Colorado 80014, US
Based on 858 listings with disclosed salaries, most logistics jobs in Georgia pay between $59k–$137k per year. Individual offers vary with seniority, company size, and specialization.
How many Logistics jobs are open in Georgia right now?
There are currently 10,700 open logistics positions in Georgia listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Logistics roles in Georgia?
Companies currently hiring include Domino's, Lowe's Companies, Inc., Dollar Tree Stores, Advance Auto Parts, Tractor Supply Company, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Logistics jobs in Georgia?
Yes — 524 of the 10700 open logistics positions offer remote or hybrid work (181 remote, 343 hybrid).
How do I apply for Logistics jobs in Georgia?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.