Arkestro

Data Scientist

• Lead cross-team initiatives requiring data science expertise, driving alignment between Engineering, Product, Customer Success, and Data teams
• Participate actively in discussions with Product Management, shaping what we build and why based on data insights and technical feasibility
• Build and maintain trust with Customer Organization through clear communication of DS capabilities, limitations, and roadmap
• Present complex technical work to executive leadership and non-technical stakeholders in ways that drive strategic decisions
• Own the data science roadmap and its evolution in partnership with VP Data, DS Leads, and Product leadership
• Set clear expectations and clearly communicate project statuses to stakeholders throughout the company
• Foster a culture of continuous learning through mentorship of junior data scientists and sharing of best practices
• 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

Staff Data Scientist

Engineer

• Own customer deployments end-to-end: Lead technical implementations from architecture design through production, serving as technical advisor and managing cross-functional teams to deliver on time
• Build integrations at scale: Design and implement robust integrations between enterprise ERP systems and Arkestro's platform, handling complex procurement workflows and business logic
• Deliver customer-specific features: Rapidly prototype and ship functionality that addresses unique enterprise requirements while building reusable patterns
• Pioneer our deployment methodology: Create the playbooks, tools, and frameworks that will scale our technical deployments from 5 to 50+ Fortune 500 customers
• Drive technical relationships: Serve as the primary technical point of contact, translating between business and technical stakeholders

Staff Data Scientist

Forward Deployed Engineer