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Advanced Solution Development Data Scientist

3 months ago
United States
Full-time
Senior
Data Engineer
Data Science and Analytics
Databricks Git Machine Learning Python SQL Tableau
Apply Now
KPI Solutions

KPI Solutions

KPI Solutions provides end-to-end warehousing and distribution consulting, systems integration, robotics, and automation powered by intelligent software. Their relentless pursuit of the right solution boosts productivity, increases fulfillment speed, r...

Industrial Conglomerates
251-1K
View All Jobs 10

Description

  • Build and maintain curated datasets using Databricks, Delta tables, jobs, SQL Warehouses, and SQL-based governed reporting tables.
  • Ingest and manage RFPs, specifications, drawings, addenda, and other pursuit lifecycle artifacts with proper metadata and version control.
  • Develop applied analytics solutions for forecasting, scenario modeling, optimization, similarity modeling, and benchmarking.
  • Create scalable proposal fact packs, executive summaries, and SOW-ready content from governed datasets.
  • Support cost and ROI scenario modeling, including option comparisons and sensitivity analysis.
  • Analyze design and operational data such as throughput, staffing models, slotting strategies, and replenishment impacts.
  • Publish reliable datasets and insights for Tableau Cloud with consistent business definitions.
  • Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to improve benchmarks and estimate accuracy.
  • Partner cross-functionally with solution architects, engineering, analytics, and business stakeholders to improve automation decision-making at scale.

Requirements

  • 4+ years of experience in Data Science, Analytics Engineering, or Applied Machine Learning with production delivery experience.
  • Strong SQL skills, including data modeling, query optimization, and governance-ready dataset development.
  • Hands-on experience with Databricks, including Delta Lake, notebooks, jobs, and SQL Warehouses, or similar enterprise data platforms.
  • Strong Python experience preferred for data preparation, modeling, and workflow automation.
  • Ability to communicate assumptions, risks, and analytical outcomes clearly to both technical and non-technical stakeholders.
  • Experience in warehouse automation or intralogistics environments such as AMRs, AutoStore, shuttle systems, sortation, or WES/WCS platforms preferred.
  • Experience with forecasting, optimization, simulation/digital twin technologies, and decision-support analytics preferred.
  • Familiarity with document parsing and extraction workflows for RFP and specification processing preferred.
  • Tableau experience, including curated dataset publishing and dashboard performance optimization, preferred.

Benefits

  • Medical insurance, dental insurance, and vision insurance.
  • Health care concierge service.
  • 401(k) retirement plan with pre-tax and Roth options.
  • Company-paid basic life insurance, short-term disability, and long-term disability coverage.
  • Voluntary life, AD&D, accident, critical illness, and hospital indemnity insurance options.
  • Pet insurance.
  • Milk Stork program.
  • Wellness program with gift card redemption and wellness challenges.
  • Paid time off, including vacation, sick time, and 10 holidays.
  • Training and development opportunities.

Interested in this position?

Apply directly on the company website

Apply Now

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