Senior Data Scientist

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