Company Name: Order.co

Job Details: Hiring Remotely in New York, NY Remote or Hybrid 205K-235K Annually Senior level

Job Url: https://builtin.com/job/staff-principal-data-scientist/6451383

Job Description: Company DescriptionOrder.co is a B2B Ecommerce Platform that simplifies purchasing.Our strength has always been our unique edge: transforming how businesses connect with vendors through our marketplace. We're not just improving workflows - we're redefining how procurement, operations, accounting, and payments come together to drive efficiency and innovation. Every step - requisition, approval, payment, and reconciliation - is curated and automated to make purchasing across all your vendors, locations and teams as easy as purchasing for your personal lives. Founded in 2016 and headquartered in New York City, Order.co oversees nearly half a billion dollars in annualized spend across hundreds of customers like WeWork, SoulCycle, and Lume. Order.co has raised $70M+ in funding from industry-leading investors like MIT, Stage 2 Capital, Rally Ventures, 645 Ventures, and more. Order.co has been proudly named as a 50 to Watch by Spend Matters and a Best Place to Work by BuiltIn.Job DescriptionWe’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation. Staff/Principal level Data Scientists are expected to identify and develop technology solutions to company level objectives, make business cases to secure resources, and successfully launch and scale production projects. Impact should be measured at company level primary KPIs. Key ResponsibilitiesDevelop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalizationWork hand-in-hand with the head of data to design and integrate Generative AI and Agentic AI technologies to automate and augment internal and external workflows such as product recommendations, order fulfillment, and customer supportBuild scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environmentsTranslate sophisticated analytical insights into strategic business recommendations, with a track record of collaborating across teams to implement solutions effectively  Design and implement complex stochastic and ensemble models to improve operations and business performance in a variety of functional areasTake action in situations without clear data precedent, balancing the need for academic rigor with a MVP mindset and ability to iteratively deliver DS/AI Models into productionDrive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retentionMentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysisEvaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscapeQualificationsAdvanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settingsDeep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisionsProven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiencyComfort with a relatively even split between opportunity identification and hands-on-keyboard executionProven ability to quickly test and iterate between candidate models with an eye to deploying the right solution that minimizes time to delivery while maximizing the needed performance and reliability metricsProficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChainPractical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliabilityAt least 1+ year of hands-on familiarity with Generative AI (e.g., LLMs, diffusion models) and Agentic AI systems tailored for internal and/or customer-facing applicationsStrong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impactExperience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation enginesAdditional InformationWhat you'll receiveYou'll be at the forefront of AI innovation powering scalable B2B commerce and next-generation e-commerce experiencesThe chance to collaborate with a passionate, cross-disciplinary team dedicated to driving measurable business outcomesA competitive compensation package including equity and comprehensive benefitsFlexible time off and remote work policiesMedical, dental, vision, and 401(k) with matchA fast-paced and collaborative team environmentThe anticipated base annual salary for this role is $205,000-$235,000 with the opportunity for meaningful equity grants. Actual compensation and title will be commensurate with experience, qualifications, knowledge, and skills.Order.co is an equal-opportunity employer. Applicant's qualifications are considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other basis prohibited by law.