With a career at The Home Depot, you can be yourself and also be part of something bigger.
Data Scientist – Business Intelligence & Operational Optimization
Position Summary
The Data Scientist – Business Intelligence & Operational Optimization is responsible for transforming operational data into actionable insights that improve the performance, efficiency, and scalability of robotic warehouse systems.
This role combines business intelligence, advanced analytics, and optimization techniques to identify opportunities for improving warehouse throughput, robot utilization, inventory flow, order fulfillment performance, and overall system effectiveness. The position works closely with Product Management, Engineering, Robotics, Operations, and Customer Success teams to establish data-driven decision-making processes and continuously improve customer outcomes.
The ideal candidate possesses strong analytical skills, experience with large operational datasets, and a passion for solving complex logistics and automation challenges.
Key Responsibilities
Business Intelligence & Analytics
Develop and maintain operational dashboards and reporting platforms.
Define and monitor key performance indicators (KPIs) across customer deployments.
Create executive, operational, and customer-facing performance reporting.
Analyze trends, anomalies, and performance degradation across warehouse operations.
Translate complex operational data into actionable business recommendations.
Operational Performance Optimization
Analyze warehouse workflows to identify bottlenecks and inefficiencies.
Develop recommendations to improve:Warehouse throughput
Robot utilization
Inventory flow
Pick productivity
Station efficiency
Order cycle time
Resource allocation
Labor productivity
Evaluate the impact of software releases and operational changes on customer performance.
Measure system-wide performance and identify optimization opportunities.
Robotics & Fleet Analytics
Analyze robotic fleet performance and utilization patterns.
Identify congestion points and traffic inefficiencies.
Evaluate task assignment effectiveness.
Measure robot travel efficiency and idle time.
Develop recommendations to improve fleet coordination and throughput.
Data Modeling & Decision Support
Build predictive and diagnostic analytical models.
Develop forecasting models for:Order volume
Inventory demand
Capacity planning
Resource utilization
Support operational planning through scenario analysis.
Create models that enable proactive issue identification.
Experimentation & Continuous Improvement
Design and analyze A/B tests and operational experiments.
Measure effectiveness of software enhancements and workflow changes.
Partner with Product and Engineering teams to validate hypotheses using data.
Quantify ROI for optimization initiatives.
Data Infrastructure & Governance
Collaborate with engineering teams to improve data collection and instrumentation.
Define operational metrics and data standards.
Ensure data quality, consistency, and reliability.
Support development of data pipelines and analytics infrastructure.
Customer Performance Analytics
Analyze customer deployment performance.
Produce operational health assessments.
Identify opportunities for customers to improve utilization of automation systems.
Support customer success and deployment teams with performance analysis.
Optimization Responsibilities
This role is expected to drive measurable improvements in:
Warehouse Performance
Orders processed per hour
Inventory movement efficiency
Pick rates
Put rates
Cycle count accuracy
Order completion times
Fleet Performance
Robot utilization
Travel efficiency
Congestion reduction
Queue management
Task completion rates
Fleet balancing
System Performance
Workflow latency
Service response times
Throughput capacity
Resource consumption
Exception rates
Operational uptime
Required Qualifications
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering, Operations Research, or related field.
3+ years of experience in data analytics, business intelligence, data science, or operational optimization.
Strong SQL skills and experience working with large datasets.
Strong proficiency in Java or Kotlin.
Experience with streaming data (Kafka/MQTT)
Experience developing dashboards and performance reporting.
Strong statistical analysis and problem-solving skills.
Ability to communicate technical findings to business and operational stakeholders.
Preferred Qualifications
Experience in logistics, supply chain, warehouse automation, robotics, manufacturing, or industrial operations.
Experience with optimization, simulation, or operations research techniques.
Familiarity with warehouse execution systems (WES), warehouse management systems (WMS), or robotics platforms.
Experience with predictive analytics and machine learning.
Experience working with time-series operational data.
Knowledge of queuing theory, scheduling, routing, or resource optimization.
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $125,000.00 - $175,000.00