Staff/Principal Data Scientist, Order
$20.5-235k
+ Equity Grants
Procurement management platform
Open for applications
Procurement management platform
201-500 employees
Open for applications
$20.5-235k
+ Equity Grants
201-500 employees
Company mission
To empower companies to make better and faster purchasing decisions.
Role
Who you are
- Advanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline
- 8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settings
- Deep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisions
- Proven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiency
- Comfort with a relatively even split between opportunity identification and hands-on-keyboard execution
- Proven 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 metrics
- Proficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain
- Practical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliability
- At 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 applications
- Strong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impact
- Experience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation engines
What the job involves
- We’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
- Develop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalization
- Work 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 support
- Build scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environments
- Translate 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 areas
- Take 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 production
- Drive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retention
- Mentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysis
- Evaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscape
Our take
Order (formerly known as Negotiatus) is a spend management system that offers a single platform for businesses to place orders, purchase supplies, track deliveries, and control their spending.
The company's innovative platform simplifies the historically laborious manual process of reviewing and remitting payment for hundreds and thousands of invoices to different vendors every month. Its blend of predictive applications and embedded fintech provides its users with tailored solutions up and down the entire buying process.
Its focus on branding and user experience is a fresh take on the typically dry business of spending and procurement management. While the company faces competition in the likes of Emburse Certify Expense and SAP Concur, it has set itself apart by operating within the new wave of SaaS+ business.
And the company is at the helm of some serious growth, whelping guide companies with nearly half a billion in annualized spend - including big names like WeWork, SoulCycle, Lume, and High Level Health. With a strong market presence and plenty of room to expand, Order is perfectly positioned to take things to the next level.
Steph
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Sep 2022
$25m
SERIES B
Jan 2022
$30m
SERIES B
Total funding: $85.6m
Company HQ
Flatiron District, New York, NY
Leadership
Zachary Garippa
(Co-Founder & CEO)Studied Finance and Economics at Boston College. Was Chief Sales & Marketing Operator and Brand Ambassador at Evelu.com. Joined Morgan Stanley Wealth Management in 2012, working as a Registered Client Services Associate. Co-founded Order in 2014.
Thomas Jaklitsch
(Co-Founder & CTO)Studied Computer Science & Computer Engineering at Johns Hopkins University. Co-founded BKi Sports, working alongside world-leading athletes, in 2013. Co-founded Blue Jay Boxes, an on-campus care package delivery service, in 2014. Was a Software Engineering Intern at Shopify before co-founding Order.
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