Role: Data Scientist/Analyst
Seniority Level: Senior
Preferred Education: B Tech or B. E. (Computer Science / Information Technology)
Required Experience: 5 + years as a Data Scientist or similar roles
Key Responsibilities
- Mine, process, and analyze web, product, sales, and digital marketing data to empower strategic decision-making
- Develop and deploy LLM-driven solutions and predictive models for tasks such as text summarization, customer support automation, and personalization
- Design and implement model activation strategies, including A/B testing plans and measurement of final business impact
- Collaborate with cross-functional teams to improve data integration and quality for advanced modeling use cases
Must-Have Skills/Technologies
- Python
- SciKit
- SQL
- Snowflake
- Machine learning techniques (supervised, unsupervised, reinforcement learning, causal inference, and predictive modeling)
- Large Language Models (LLMs) and generative AI applications
- Data mining and advanced statistical analysis
Good-to-Have Skills/Technologies
- Amazon SageMaker
- Airflow
- Github
- Practical experience in an engineering capacity building, testing, deploying, and optimizing ensemble ML and LLM solutions
- Experience with cookie-level advertising and digital marketing data
Must-Have Soft Skills
- Good logical reasoning and analytical skills
- Good Communication skills in English (both written and verbal)
- Ability to demonstrate Ownership and Accountability of work
- Attention to details
Good-to-Have Soft Skills
- Ability to continuously learn and keep up-to-date with the latest advances in AI and ML technologies
- Strong understanding of business models, objectives, challenges, and opportunities
