Senior Applied Data Scientist – Supply Chain Optimization

Jobtailor; California (MO); On-site; USD 140,000 - 220,000; Full time

Job summary

Jobtailor is seeking a highly skilled quantitative data scientist to optimize and deploy advanced algorithms in production. You will work with data scientists and engineers to build scalable models, focusing on supply chain optimization and decision automation across large SKU and distribution networks.

You will implement mathematical models and cutting-edge techniques such as RL, MDPs, and time-series forecasting.

Qualifications

• PhD or MS in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics or related field.
• 3+ years of experience leading large-scale optimization, simulation, ML and DL at scale.
• Strong knowledge of supply chain optimization including inventory, transportation, sourcing, distribution, fulfillment, and planning.
• Excellent coding skills with a focus on readability, testing, and maintainable software.

Responsibilities

• Review and iterate on optimization and machine learning algorithms with fellow data scientists.
• Develop state-of-the-art mathematical models.
• Collaborate with engineers to design and deploy algorithms in production at scale.
• Operate models for millions of SKU and distribution network combos multiple times per day.
• Work with business partners to understand retail business processes.

Skills

Python programming

Production deployment

SQL

Data visualization

Communication

Collaboration

Mathematical modeling

Reinforcement Learning

Optimization

Ambiguity tolerance

Education

PhD or MS in quantitative field

Tools

SQL/Hive

Python tooling

Data visualization tools

Production data tools

Software architecture

Job description

Review and iterate on optimization and machine learning algorithms with fellow data scientists
Develop state-of-the-art mathematical models
Collaborate with engineers to design and deploy algorithms in production at scale
Operate models for millions of stock keeping unit and distribution network combinations multiple times per day
Work with business partners to understand retail business processes
Resolve tradeoffs between model granularity, features, performance, reliability, and codebase usability
Improve engineering standards, tooling, and processes
Develop and manage predictive and prescriptive algorithms for large-scale decision automation and optimization
Extract insights and prescribe effective courses of action for global supply chain and logistics decisions

Requirements

• PhD or MS in Industrial Engineering, Operations Research, Computer Science, Applied Mathematics, Statistics, Physics or related quantitative fields
• 3+ years of experience leading large-scale implementations of optimization, simulation, machine learning and deep learning at scale
• Strong knowledge of supply chain optimization, including inventory, transportation, sourcing, distribution, fulfillment, and planning
• Strong computer science fundamentals, including data structures, design, algorithms, programming, and information retrieval
• Strong technical and communication skills
• Ability to write understandable, testable, maintainable code
• Ability to deal with ambiguity and prioritize progress over perfection
• Extensive experience writing highly performant Python code and deploying algorithms in a production environment
• Proficient in predictive and prescriptive algorithms
• Expert at formulating and implementing mathematical models, including mixed-integer programming, stochastic dynamic programming, and reinforcement learning
• Experience implementing advanced statistical techniques such as regression, clustering, PCA, and time series forecasting
• Proficient in application/software architecture
• Experience writing production datasets in SQL/Hive or building internal/production data tools in a scripting language such as Python
• Able to produce documents and narratives suggesting actionable insights
• Excellent communication skills and ability to tell data-driven stories through visualizations, graphs, and narratives
• Self-driven and results-oriented, with strong ownership and sound judgment
• Collaborative team player committed to continuous learning, knowledge sharing, and building reliable AI systems
• Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Core Competencies

Demonstrates expertise in developing and managing predictive and prescriptive algorithms for large-scale decision automation, with a strong foundation in supply chain optimization and advanced statistical techniques. Proficient in Python programming and capable of collaborating effectively with cross-functional teams to deploy algorithms in production environments.

Highest-signal resume keywords

• PhD Or MS In Industrial Engineering
• 3+ Years Experience In Machine Learning
• Strong Knowledge Of Supply Chain Optimization
• Extensive Experience Writing Python Code
• Expert In Mathematical Models

Hard Skills

• Machine Learning
• Optimization Algorithms
• Predictive Algorithms
• Prescriptive Algorithms
• Statistical Techniques
• Mixed-Integer Programming
• Stochastic Dynamic Programming
• Reinforcement Learning
• SQL
• Data Structures

Soft Skills

• Strong Communication Skills
• Collaborative Team Player
• Self-Driven
• Results-Oriented
• Ability To Deal With Ambiguity

Industry Keywords

• Supply Chain Optimization
• Inventory Management
• Transportation
• Sourcing
• Distribution
• Fulfillment
• Planning
• Decision Automation
• Logistics
• Data-Driven Insights

Tools & Technologies

• Python
• SQL/Hive
• Data Visualization Tools
• Application/Software Architecture
• Production Data Tools