KPI Solutions

Supply Chain Data Analyst / Data Scientist

Remote
✓ Verified live on the employer's own system · added 20 days ago
Save search
Mid-level · 4+ yrs exp

Requirements

Experience: 4+ years

Skills & tools

SalesData AnalysisLogisticsSupply Chain LogisticsOperationsStockingDatabricksSQL

Benefits — mentioned in this posting

Health, dental & vision401(k) / retirementWellness & perksPaid time off
Apply on company site ↗ See your fit → free

Full job description

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.

More jobs at KPI Solutions

Similar jobs near Remote

Tell me when more Data Analyst I jobs post near Remote We re-check every listing against the employer’s own board — no résumé needed.

Search Supply Chain Data Analyst / Data Scientist jobs near Remote → Browse all live jobs

This posting was published by KPI Solutions on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.