Job description
- Overview: The mission of the Machine Learning and Data Science team is to enhance Cvent s products with AI and machine learning driven features, and to enable the company to make data-informed decisions at all levels
- Cvent has a vast amount of data, and significant domain expertise, which we are using to design intelligent features that deliver value to our customers
- You will be part of a growing team, strongly committed to impact the company via industry-leading machine learning / AI, data products and data analytics
In This Role, You Will: What You Will Be Doing-
- Work with a talented team of data scientists, software developers and product owners to identify possible applications for AI and machine learning
- Understand Cvents 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 Cvents 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
Heres What You Need: What You Need for this Position:
- A Bachelors degree in a quantitative field (natural sciences, math, statistics, computer science)
- 4 - 7 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
- Experience with relational databases and query-writing in SQL
- Knowledge of linear algebra and statistics
- Skills in data exploration and interpretation
- Strong verbal and written communication
- It will be excellent if you also have: A Masters or PhD degree in a quantitative field
- Familiarity with Generative AI
- 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
