Develop and manage state of the art predictive and prescriptive algorithms to automate and optimize decisions at scale
Write high-performant, scalable code and design analytical solutions to extract insights and prescribe best courses of action
Accelerate omni-channel experimentation to foster a culture of continuous innovation at Target
Advocate for a data-driven culture across Product, Business Ops and Engineering
Execute solutions to business problems using data analysis, data mining, forecasting, optimization tools, and machine learning techniques
Analyze and explore data, design in-product experiments, analyze results, and provide strategic recommendations
Partner with Product Owners and business partners to identify gaps in product offerings through comprehensive data analysis
Define data for measuring success of new product features or business strategies and work on KPI tracking
Strive for query optimization on large data sets used by operations research and stakeholders
Design and build self-service dashboards using analytical and visualization techniques to derive actionable insights from data

PhD/MS in Operations Research, Industrial Engineering, Computer Science, Mathematics, Statistics, Physics or related quantitative field
5+ years of experience leading large-scale implementations of supply chain optimization, simulation and machine learning modeling end to end
Demonstrated proficiency in one or more programming languages: Python, R, Kotlin or Java
Demonstrated experience writing highly performant code and deploying algorithms in a production environment
Proficient in predictive/prescriptive algorithms and ML Ops
Experience working with large event-driven distributed systems and multi-threaded applications
Experience in application/software architecture (definition, process modeling, etc.)
Experience writing production datasets in SQL/Hive or building internal/production data tools for research or experimentation in a scripting language like Python
Passion for solving relevant real-world problems using a data science approach
Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
Experience producing reasonable documents/narratives suggesting actionable insights
Excellent communication skills with an ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented; able to meet tight timelines
Collaborative team player with ability to partner effectively across time zones.

Comprehensive health benefits and programs including medical, vision, dental, and life insurance
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation

Lead Data Scientist – Last Mile Supply Chain Optimization

Key skills