Sr. Data Scientist

6 days ago

Herzliya, Tel Aviv, Israel Pendo Full time $104,000 - $130,878 per year

Location: Herzliya, IL

Team Description

Our team sits at the cutting edge of research and engineering at Pendo. We tackle the hardest problems that demand a rare combination of deep AI expertise (think LLMs, generative models) with the rigor and creativity of pure Data Science (statistics, ML models, algorithms, etc.).

Solving real customer problems is our first mission, and we take immense pride in building AI-powered solutions that are functional, applicable, and transformative. We thrive on taking ideas all the way: from bold research concepts, through experimentation and validation, to robust production systems that directly power Pendo's core product experiences.

Join us at the frontier of AI, where breakthrough research meets real-world product impact.

Role Responsibilities
  • Research, design, and deploy ML/AI models and systems into production.
  • Translate business needs into data-driven solutions in collaboration with product, engineering, and other stakeholders.
  • End-to-end ownership: from experimentation and prototyping to production deployment and monitoring.
  • Contribute to team best practices and mentor junior colleagues.

Minimum Qualifications
  • B.Sc. in Computer Science, Statistics, Data Science, or related field.
  • 5+ years of professional experience applying ML/AI in production systems.
  • Hands-on experience delivering LLM-powered features to production (e.g., RAG pipelines, prompt orchestration, evaluation/guardrails, monitoring).
  • Experience in cloud platforms (AWS, GCP, or Azure), distributed systems, and MLOps best practices.
  • Solid knowledge of statistical modeling, experimental design, and applied ML/AI methods.
  • Proficiency in Python and core ML/AI libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
  • Proven experience in deploying and maintaining production ML/AI systems.

Preferred Qualifications
  • Experience in cloud platforms (AWS, GCP, or Azure), distributed systems, and MLOps best practices.
  • Advanced degree (MSc or PhD) in Computer Science, Statistics, Data Science, or related field.
  • Track record of research contributions (patents, or open-source contributions).
  • Deep cross-functional collaboration with Product and Engineering; able to explain complex concepts to diverse technical audiences, align team members, and drive delivery.

Pendo Description:

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers -- a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software.

Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech. You will gain experience in a diverse and exciting set of technologies and clients and have a real impact on Pendo's future. Our culture is passionate, dynamic, and fun.

EEOC

We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility

Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Compensation

Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.

Individual pay rate decisions, including offers made within and over the expected salary range, are based on a number of factors, including qualifications for the role, experience level, skillset, and balancing internal equity relative to peers at the company.

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