Arkestro’s Predictive Procurement accelerates enterprise spend transformation, using AI and game theory to unlock trapped savings and reduce risk, enabling teams to influence significantly more spend. By combining AI with deep Negotiation Science, Supplier Science, and Process Science procurement teams can improve win-rates while strengthening supply chain agility.
Requirements
- Strong expertise in machine learning, statistics, and data modeling
- Proficiency (6+ years experience) in Python and SQL
- Experience with AWS, Snowflake, dbt or similar cloud data stack
- Experience applying ML to procurement/supply chain data
- Knowledge of game theory and mechanism design
- Python, pandas, SQLAlchemy, Pydantic
- AWS, Snowflake, dbt, Pinecone, OneSchema
Responsibilities
- Design, prototype, and productionize machine learning models to optimize procurement processes
- Build and deploy AI systems into the procurement workflow, including robust eval frameworks
- Collaborate with Data Engineers on ML infrastructure, pipelines, and operations to support model training and deployment
- Define and evolve Data Science processes and practices
- Keep a startup mindset: ship early and collect feedback sooner than later
- Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI
- Design and implement scalable data pipelines, data algorithms, and ML models
Other
- 6+ years experience in data science or related quantitative field
- Proven ability to communicate complex technical concepts to non-technical stakeholders and drive consensus across teams with competing priorities
- Track record of leading cross-functional initiatives with measurable organizational impact beyond a single team
- BS/MS in Computer Science, Statistics, Applied Math or related field
- Demonstrated ability to mentor and elevate technical talent across teams, not just direct reports
