Data Scientist

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.

As a fast-growing tech company, we’re looking for builders and innovators — people who thrive in the face of ambiguity and who have a selfless dedication to do whatever it takes to make Arkestro and our customers successful. We believe in egoless execution and we are looking for people who will work together to solve hard problems. If you're excited to help shape our future, contribute to our company culture, and help to drive our business forward there is a tremendous opportunity for you here at Arkestro!

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We are looking for an experienced data scientist to join our growing Data Team and help drive the development of cutting-edge data, machine learning, and AI solutions that optimize procurement for our enterprise customers. The Staff Data Scientist will work closely with data engineers, senior stakeholders, and other data scientists to design and implement scalable data pipelines, data algorithms, and ML models.

You will take ownership of major data science initiatives such as entity resolution, pricing algorithms, demand forecasting, recommendations, and automating workflow decisions. The role requires strong technical skills, business acumen, and the ability to effectively communicate with both technical and non-technical stakeholders across the organization.

• 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 product ionize 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

• 6+ years experience in data science or related quantitative field
• 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
• 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
• PhD in quantitative field
• Experience applying ML to procurement/supply chain data
• Knowledge of game theory and mechanism design

• Data Motion:
  Snowflake, dbt, Pinecone, One Schema
• ML and DS:
  Python, pandas, SQL Alchemy, Pydantic
• Workflow and Deployment:
  Github, AWS, Datadog, Code Climate
• Documentation and coordination:
  Jira, Confluence,…