Data Science Engineer 2

About the job

JOB LEVEL P20 EMPLOYEE ROLE Individual Contributor About the Role Join us at Adobe as a Data Science Engineer 2, where you will play a pivotal role in our Experience Insights team, located in Noida. This is an outstanding opportunity to work with world-class technologies and contribute to meaningful projects that impact millions of users globally. Your work will be integral to our mission of delivering outstanding digital experiences. Key Responsibilities: • Compose, build, and operationalize LLM-based models and pipelines to analyze user chat, conversation logs, and other unstructured text data. • Apply advanced text analytics techniques, including classification, clustering, sentiment analysis, topic modeling, and summarization. • Work hands-on with large datasets using SQL and data querying tools, integrating data from multiple sources such as chat logs, transaction data, clickstream, and customer attributes. • Translate analytical outputs into clear, compelling stories and insights tailored for business and senior leadership audiences. • Partner with the data engineering team to build and improve the data/insights infrastructure. Craft vital reports and dashboards to communicate insights visually. These tools enable self-service and scalability. • Collaborate with product, engineering, marketing, and operations teams to identify high-impact analytics use cases across the e-commerce funnel, including browse, search, conversion, fulfillment, and post-purchase stages. Required Skills and Experience: • 5 to 6 years of experience in data and text analytics, data science. • Expertise in LLM-based modeling, data science, SQL, and web analytics. • Proven ability to handle large datasets and derive actionable insights. • Strong communication skills to present technical information to non-technical audiences.

Requirements

• Data Analytics
• SQL
• LLM-based modeling
• Text Analytics

Qualifications

• Bachelor's degree in Computer Science
• Data Science

Preferred Technologies

• Data Analytics
• SQL
• LLM-based modeling
• Text Analytics