Advanced Solution Development Data Scientist

KPI Solutions • Atlanta, GA

7h

About The Position

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. 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, and 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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed