[Remote] Staff Data Scientist at Arkestro

Remote

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise SoftwareIndustries

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

Responsibilities

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
Stay up-to-date (and keep the team up to date) on latest techniques and tools in ML & AI

Skills

Key technologies and capabilities for this role

Data ScienceMachine LearningAIData AlgorithmsData PipelinesEntity ResolutionPricing AlgorithmsDemand ForecastingRecommendationsWorkflow AutomationSQLCommunicationProblem-SolvingBusiness Acumen

Questions & Answers

Common questions about this position

What is the salary or compensation for the Staff Data Scientist role?

This information is not specified in the job description.

Is this Staff Data Scientist position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for the Staff Data Scientist role?

The role requires strong technical skills in designing and productionizing machine learning models, building scalable data pipelines and AI systems, and expertise in areas like entity resolution, pricing algorithms, demand forecasting, and recommendations. Business acumen and effective communication with technical and non-technical stakeholders are also essential.

What is the company culture like at Arkestro?

Arkestro seeks builders and innovators who thrive in ambiguity, demonstrate selfless dedication, egoless execution, and collaborate to solve hard problems. They emphasize contributing to company culture, continuous learning through mentorship, and working together across teams.

What makes a strong candidate for this Staff Data Scientist position?

Strong candidates are experienced data scientists who can lead cross-team initiatives, own the data science roadmap, productionize ML models, communicate effectively with stakeholders, and mentor juniors while thriving in a fast-paced startup environment.

Arkestro

AI-driven procurement optimization platform

About Arkestro

Arkestro focuses on Predictive Procurement Orchestration (PPO), using artificial intelligence (AI) to enhance procurement processes for businesses. It helps large global companies streamline the time-consuming task of collecting and comparing supplier quotes, enabling faster and more informed purchasing decisions. Arkestro operates on a software-as-a-service (SaaS) model, providing tools that automate procurement tasks and generate predictive insights. The company's goal is to improve efficiency and resilience in supply chains, setting it apart from competitors by emphasizing AI-driven automation.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$98.5MTotal Funding

EARLY_VCCompany Stage

Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Unlimited Paid Time Off

Flexible Work Hours

Remote Work Options

Home Office Stipend

Professional Development Budget

Risks

Rapid AI advancements may outpace Arkestro's current technological capabilities.

Skepticism about Predictive Procurement Orchestration's cost and time investment may hinder adoption.

Economic instability could lead to budget cuts affecting Arkestro's subscription revenue.

Differentiation

Arkestro uses AI to streamline procurement, reducing manual quote comparisons.

The platform integrates with existing systems for seamless procurement automation.

Arkestro's Predictive Procurement Orchestration offers faster savings and real-time collaboration.

Upsides

Partnership with Infor Marketplace expands Arkestro's reach to over 60,000 organizations.

Rising AI adoption in procurement supports Arkestro's market growth potential.

Recent $40 million equity raise boosts Arkestro's expansion and product development.

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