Senior Data Scientist



1,001-5,000 employees

Subscription monetization and billing platform

$163,100 - $244,700

Bonus, Equity


San Carlos, CA, USA

Required Skills
Data Science
  • Master's or PhD in Computer Science, Statistics, Machine Learning, or a related field
  • At least 4 years of professional experience as a Data Scientist or Machine Learning Engineer
  • Proficiency in machine learning frameworks (e.g., numpy, TensorFlow, PyTorch) and programming languages (Python, R)
  • Strong expertise in natural language processing (NLP), sentiment analysis, and predictive modeling
  • Proven track record of developing and deploying machine learning models in production environments
  • Excellent communication and teamwork skills to collaborate effectively with cross-functional teams
  • Ability to lead and mentor junior data scientists and share best practices
  • Passion for staying updated with the latest advancements in data science and AI
  • Serve as an organizational expert and thought leader on machine learning and AI
  • Deepen knowledge of the customer lifecycle at a B2B company and contribute directly to maximizing revenue and customer retention
  • Design and implement ML- and AI-powered products that leverage subscription, billing, and payment data
  • Gain managerial experience mentoring other data scientists and engineers on topics related to machine learning and AI research and operations
  • Develop predictive models for customer churn prediction
  • Utilize advanced statistical and machine learning techniques to identify key factors contributing to churn and recommend actionable strategies for retention
  • Build models to identify upsell opportunities with existing customers
  • Collaborate with Sales and Marketing teams to implement data-driven strategies for upselling products and services
  • Proactively identify opportunities to enhance product offerings with machine learning and AI-driven features
  • Lead the design and development of innovative solutions that align with market demands and customer needs
  • Establish and document best practices for training, evaluating, and operating machine learning and AI models
  • Promote a culture of responsible AI and ensure compliance with data privacy regulations

Zuora stands out in the competitive landscape with its comprehensive monetization suite, which streamlines complex financial processes such as quote-to-cash and revenue recognition, demonstrating a clear understanding of the subscription economy's needs. The company's focus on facilitating direct, digital customer relationships aligns with modern consumption trends, offering a playbook of expertise, The Journey to Usership™, which has been instrumental in the success of subscription businesses globally. Zuora's tailored solutions and proven track record position it as a leader in aiding companies to adapt their business models to evolving market demands.

Company Stage


Total Funding



Redwood City, California



Growth & Insights

6 month growth


1 year growth


2 year growth