Data Scientist

Conviva helps the world’s top brands to identify and act on growth opportunities across mobile and web apps, video streaming services, and Agentic AI experiences. Our platform delivers real-time performance analytics to transform every customer interaction into actionable insight, connecting experience, engagement, and technical performance to business outcomes. By analyzing client-side session data from all users as it happens, Conviva reveals not just what happened, but how long it lasted and why it mattered—surfacing behavioral and experience patterns that give teams the context to retain more customers, resolve issues faster, and grow revenue.

What Success Will Look Like:

• Design and develop metrics and models to draw insight from large data sets to identify new data-driven products and services.
• Understand the business context for the Conviva data well enough to be able to interpret it, clean it and transform it into a consumable format.
• Interpret analytical insight of statistical data with the appropriate business context and provide guidance to business decisions.
• Tracking cutting-edge algorithms, actively using new technologies, new algorithms, new ideas, and new concepts.
• Evaluate and optimize models to ensure performance and stability.
• Collaborate with cross-functional teams, including software engineers, data engineers, and product managers, to jointly develop and deploy end-to-end machine learning solutions.

Who You Are & What You've Done:

• Recent or upcoming graduate with BS or above in Computer Science, Data Science, Mathematics, Statistics or other related majors
• Statistical knowledge (e.g. Hypothesis testing, Probability distributions) is a must-have ability. Be able to perform data manipulations and analysis, including aggregation, distribution, ordering, etc., with programing languages such as SQL, Scala, R or Python.
• In-depth understanding of machine learning and deep learning algorithms, with familiarity in common machine learning frameworks and tools such as TensorFlow, PyTorch, Scikit-learn, etc. The candidate should have the ability to formalize a business problem into a machine learning problem.
• Familiar with big data processing technologies such as Hadoop, Spark, Hive, etc..
• Good spoken English communication skills
• Strong communication skills and teamwork spirit, with the ability to effectively collaborate with team members and other stakeholders.
• Strong interest and enthusiasm for technological innovation and problem-solving, with the ability to quickly learn and adapt to new technologies and tools.
• Bonus Points:
• • Proficiency in programming languages such as Python, Java, C++, etc., with solid programming skills and software engineering experience.
• • Participation in domestic or international modeling competitions with honors.
• • Publication of machine learning or artificial intelligence-related papers at top academic conferences.

Privately held, Conviva is headquartered in Silicon Valley, California with offices and people around the globe. For more information, visit us at www.conviva.com. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets!