Overview
Cvent is a leading meetings, events, and hospitality technology provider with more than4,800 employees and ~22,000 customers worldwide, including 53% of the Fortune 500.Founded in 1999, Cvent delivers a comprehensive event marketing and managementplatform for marketers and event professionals and offers software solutions to hotels,special event venues and destinations to help them grow their group/MICE and corporatetravel business. Our technology brings millions of people together at events around theworld. In short, we’re transforming the meetings and events industry through innovativetechnology that powers the human connection.The DNA of Cvent is our people, and our culture has an emphasis on fosteringintrapreneurship - a system that encourages Cventers to think and act like individualentrepreneurs and empowers them to take action, embrace risk, and make decisions as ifthey had founded the company themselves. At Cvent, we value the diverse perspectivesthat each individual brings. Whether working with a team of colleagues or with clients, weensure that we foster a culture that celebrates differences and builds on sharedconnections.
In This Role, You Will
- Work with a talented group of data scientists, software developers and product owners to identify possible applications for AI and machine learning.
- Understand Cvent's product lines, their business models and the data collected.
- Perform machine learning research on various types of data ( numeric, text, audio, video, image).
- Deliver machine learning models in a state that can be picked up by a software development team and operationalized via Cvent's products.
- Thoroughly document your work as well as results, to the extent that another data scientist can replicate them.
- Progressively enhance your skills in machine learning, writing production-quality Python code, and communication.
Here's What You Need
- A Bachelor's degree in a quantitative field (natural sciences, math, statistics, computer science).
- At least 3 years of experience working as a data scientist in industry.
- In-depth familiarity with the Linux operating system and command-line work.
- Conceptual and technical understanding of machine learning, including model training and evaluation.
- Experience with formal Python coding.
- Proficiency in machine learning packages in Python.
- Familiarity with Generative AI based system development.
- Experience with relational databases and query-writing in SQL.
- Knowledge of linear algebra and statistics.
- Skills in data exploration and interpretation.
It Will Be Excellent If You Also Have
- A Master's or PhD degree in a quantitative field.
- Experience with Databricks and/or Snowflake platforms.
- Ability to write production-quality Python code with testing coverage.
- Experience working on a cloud platform (AWS/Azure/Google Cloud), especially machine learning R&D on a cloud platform.
- Knowledge of the software development lifecycle, including Git processes, code reviews, test-driven development and CI/CD.
- Experience with A/B testing.
- Skills in data visualization and dashboarding.
- Knowledge of how to interact with a REST API.
- Proven ability for proactive, independent work with some supervision.
- Strong verbal and written communication.