Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations. It moves teams away from reactive supplier bidding toward data-driven offers that reduce friction and help both buyers and suppliers reach better outcomes faster.

Arkestro helps procurement teams influence more enterprise spend and uncover savings that traditional sourcing approaches often leave behind by applying predictive intelligence to how sourcing events are designed and executed.

We’re a hyper-growth company looking for people who take ownership and are comfortable working through complexity. This is a tremendous opportunity if you want to do meaningful work and help shape how large enterprises run procurement… Arkestro is a place where you can have a big impact. See Arkestro in action at arkestro.com.

About this Role

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.

Responsibilities

Leading:

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

Building:

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

Necessary Qualifications

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

Ideal Qualifications

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

Technologies and tools we use

Data Motion: Snowflake, dbt, Pinecone, OneSchema
ML and DS: Python, pandas, SQLAlchemy, Pydantic
Workflow and Deployment: Github, AWS, Datadog, Code Climate
Documentation and coordination: Jira, Confluence, Slack, Fellow, Lattice, Google Workspace

Pay Range

$190,000—$220,000 USD

Arkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to:

Competitive salary and startup equity
Medical, Dental, Vision insurance premiums covered up to 100% (employee only)
401K discretionary matching
Unlimited PTO
A remote-first team with regular opportunities to get together in person for team building, design sprints, and customer visits
Annual budget of $1,000 for learning and professional development
Diverse, inclusive, highly collaborative, and vibrant culture

Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

Disclaimer

Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice.

Staff Data Scientist

TLDR

Benefits