Chegg.com - Senior Data Scientist

Senior Data Scientist

Location: New Delhi

Your goal: To improve the education process and improve the student experience through data.

The organization: Data Science for Learning Services

Data Science and Machine Learning are core to Chegg. As a Student Hub, we want to ensure that students discover the full breadth of learning solutions we have to offer to get full value on their learning time with us. To create the most relevant and engaging interactions, we are solving a multitude of machine learning problems so that we can better model student behavior, link various types of content, optimize workflows, and provide a personalized experience.

The Role: Senior Data Scientist

As a Senior Data Scientist, you will focus on conducting research and development in NLP and ML. You will be responsible for writing production-quality code for data product solutions at Chegg. You will lead in identification and implementation of key projects to process data and knowledge discovery.

Responsibilities:

- Translate product requirements into AIML/NLP Solutions

- Write production-quality code

- Be able to think out of the box and be able to design novel solutions for the problem at hand

- Be able to design data and annotation collection strategies

- Identify key evaluation metrics and release requirements for data products

- Integrate new data and design workflows

- Innovate, share, and educate team members and community

Requirements:

- 2+ years of experience in machine learning, natural language processing, recommendation systems, experimentation, or related fields

- Working experience on language models that cater to multiple tasks such as text generation, Q&A, summarization, translation etc.

- Knowledge on MLOPs and deployment pipelines

- Expertise on supervised, unsupervised and reinforcement ML algorithms.

- Strong programming skills in Python

- Experience using containers to deploy real-time prediction services

- Passion for using technology to help students

- Excellent communication skills

- Good team player and a self starter

- Outstanding analytical and problem-solving skills

- Experience working with ML pipeline products such as AWS Sagemaker, Google ML, or Databricks a plus.