Staff Data Scientist

November 6

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Arkestro

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B2B • SaaS • Enterprise

Arkestro is a company that provides Predictive Procurement Orchestration (PPO), a platform that leverages machine learning and behavioral science to optimize procurement processes. By learning from a company's best buying decisions, Arkestro helps businesses accelerate their procurement cycles, reduce costs, and improve supply chain efficiency. Their platform is particularly beneficial in industries such as automotive, oil and gas, high-tech manufacturing, and more. Arkestro's solutions enable companies to make quicker, data-driven buying decisions at a larger scale, achieving substantial cost savings and competitive advantage.

51 - 200 employees

🤝 B2B

☁️ SaaS

🏢 Enterprise

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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