About Chargebee:
Chargebee is a subscription billing and revenue management platform powering some of the fastest-growing brands around the world today, including Calendly, Hopin, Pret-a-Manger, Freshworks, Okta, Study.com, and others. Thousands of SaaS and subscription-first businesses process over billions of dollars in revenue every year through the Chargebee platform.
Headquartered in San Francisco, USA, our 1000+ team members work remotely throughout the world, including India, the Netherlands, Paris, Spain, Australia, and the USA.
Chargebee has raised over $480 million in capital and is funded by Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Ventures. And we’re on a mission to push the boundaries of subscription revenue operations. Not just ours, but every customer and prospective business on a recurring revenue model.
Job Summary:
Chargebee is seeking an experienced Data Scientist with expertise in Revenue Operations (RevOps) to join our team. As a Data Scientist with RevOps experience, you will play a crucial role in analyzing revenue data, developing predictive models, and providing insights to drive revenue growth and operational efficiency. The ideal candidate will have a strong background in data science and revenue operations, with a proven track record of using data-driven approaches to optimize revenue performance.
Responsibilities:
- Collaborate with cross-functional teams, including Sales, Marketing, Finance, and Customer Success, to understand revenue operations requirements and objectives.
- Analyze revenue data to identify trends, patterns, and opportunities for improvement.
- Develop and implement predictive models and algorithms to forecast revenue and identify potential risks and opportunities.
- Utilize statistical analysis and machine learning techniques to uncover insights and drive data-informed decision-making.
- Work closely with revenue operations teams to optimize revenue processes and identify areas for improvement.
- Provide data-driven recommendations and insights to drive revenue growth and operational efficiency.
- Communicate findings and insights to stakeholders through reports, presentations, and visualizations.
- Stay up-to-date with the latest trends and advancements in data science and revenue operations.
Requirements:
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field. Master's or Ph.D. degree is a plus.
- Minimum of 5 years of experience in data science
- Strong proficiency in programming languages such as Python or R.
- Experience with data visualization tools such as Tableau or Power BI.
- Proficient in using statistical analysis and machine learning techniques.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Previous Ops experience would be a good to have
- Excellent communication and presentation skills, with the ability to effectively convey technical information to non-technical stakeholders.
- Proven ability to work collaboratively in a cross-functional team environment.
- Experience with revenue forecasting, pipeline management, or sales analytics is a plus.
