●Provide technical expertise in using data to understand and explain the phenomena around them, and help the company make better decisions
●Develop novel AI solutions that power our products
●Work with the product engineering team to transfer experimental Data Science and AI work into production
●Demo results and findings to various internal and external business stakeholders
WHAT DO YOU NEED TO SUCCEED?
Must have:
●Thrive on searching and understanding the meaning of Data
●Demonstrated success in performing Data Science activities, leveraging technologies such as Jupyter Labs, SQL, Matplotlib, Spark, or Numpy
●Experience with Python and Machine Learning packages such as Sklearn, Tensorflow or PyTorch
●Experience with leveraging LLMs in Data Science activities
●Excellent written and oral communication skill s
Nice-to-have:
●Familiarity with AWS cloud computing, including S3, Glue and Sagemaker
●Familiarity with Snowflake
●Experience with Java or JVM based programming languages
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.