Senior Data Scientist – Supply Chain & Pre-Sales Analytics

KPI Solutions; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

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 Dis

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

Paid Time Off (Vacation, Sick & 10 HOL

Training & Development

Job summary

KPI Solutions seeks a hands-on Data Scientist / Senior Data Engineer to help build KPI’s Closed-Loop Design Program, accelerating pre-sales engineering and AI-driven insights across the customer solution lifecycle.

You will work with solution architects, analytics, and engineering teams to transform RFPs and historical project data into repeatable outputs that speed proposal development and improve design accuracy.

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.

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.

Skills

Data Science

Analytics Engineering

Applied ML

SQL

Python

Databricks

Data modeling

Governance-ready datasets

Data preparation

Workflow automation

Communication

Tools

Databricks Delta Lake

Tableau/Tableau Cloud

SQL Warehouses

Python notebooks

Job description

KPI Solutions seeks a hands-on Data Scientist / Senior Data Engineer to help build KPI’s Closed-Loop Design Program, accelerating pre-sales engineering and AI-driven insights across the customer solution lifecycle.

You will work with solution architects, analytics, and engineering teams to transform RFPs and historical project data into repeatable outputs that speed proposal development and improve design accuracy.