About The Position

Stampli is seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, you’ll work cross-functionally to lead end-to-end AI projects—from data exploration to deployment—helping shape the future of our intelligent products and user experiences.

If you’re passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, we’d love to connect.

What You Will Do:

Identify AI opportunities to enhance product experiences and operational efficiency.

Collect, analyze, and model diverse financial datasets to develop actionable AI proof of concepts.

Own the full AI solution lifecycle—from problem definition to research, modeling, and hands-on implementation.

Break down complex problems into well-defined, structured work plans.

Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.

Stay up to date with AI, ML, and LLM trends, translating them into practical applications.

Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

What You Will Bring:

Education & Experience

• Bachelor's degree in Computer Science, Engineering, or a related STEM field; Master’s in a data science-related field is a plus.
• 4+ years in a data science role, ideally within a SaaS or tech-driven company.
• Proven experience leading and delivering AI-based solutions to key business problems.
  
  

Technical Skills

• Strong skills in data manipulation, visualization, and statistical analysis.
• Proficiency with Python and the Python data stack.
• Experience with ML frameworks: scikit-learn, XGBoost, PyTorch, TensorFlow.
• Advanced SQL and experience working with large datasets.
• Familiarity with LLMs and tools like LangChain, LlamaIndex.
• Understanding of backend development architecture patterns – an advantage.
• Experience working with big data – a plus.
  
  

Soft Skills

• Strong analytical thinking and independent problem-solving skills.
• Excellent communication and collaboration abilities (Hebrew & English).
• Self-driven with a high sense of ownership and motivation to deliver impactful solutions.
• Creative, critical thinker and continuous learner.
• Strong interpersonal skills with a proven ability to mentor and technically lead others.
  
  

You Will Get:

• This role offers the flexibility of working from our Tel Aviv office three days a week (Tuesday, Wednesday, and Thursday), with the option to work remotely for the remainder of the week.
• Stock options
• Career development and mentorship from seasoned leadership
• A collaborative, fast-paced work culture with cutting-edge challenges
• Opportunity to shape AI innovation in a company already driven by it
  
  

Why Join Stampli?:

Stampli is the only finance operations platform centered on accounts payable. While other platforms are built by payments providers to capture a business’s cash flow, Stampli is built by AP experts for AP first. As a result, Stampli drives AP and finance team efficiency across the entire invoice lifecycle, from vendor onboarding to remittance to spend management and beyond.

Stampli creates breakthrough productivity by centralizing all invoice-related communication, documentation and workflows into a single view for each invoice, and by automating all manual activities using Billy the Bot™, the industry’s only proven AI. Billy’s self-learning architecture has made it more capable every day since its debut in 2015; today, Billy the Bot has saved millions of hours of labor for Stampli customers as it processes $85B+ invoices every year.

Stampli fully adapts to a customer’s desired finance processes and ERP configuration, thanks to the complete integrations it has prebuilt for ERPs from Microsoft, Oracle, Sage, SAP, QuickBooks, Acumatica, Dealertrack, and many others. Thanks to this adaptability, Stampli implements within weeks, not months, and is easy to learn for any stakeholder involved in the invoice lifecycle.