Senior Data Scientist - Machine Learning (12-14 yrs)

Job Overview :

We are looking for a skilled Data Scientist with expertise in data analytics, machine learning, and AI to join our team.

The ideal candidate will have a strong command of data tools, programming, and knowledge of LLMs and

Generative AI, contributing to the growth and automation of our business processes.

Key Responsibilities :

Data Analysis & Visualization :

- Develop and manage data pipelines, ensuring data accuracy and integrity.

- Design and implement insightful dashboards using Power BI to help stakeholders make data-driven decisions.

- Extract and analyze complex data sets using SQL to generate actionable insights

Machine Learning & AI Models :

- Build and deploy machine learning models to optimize key business functions like discount management, lead qualification, and process automation.

- Apply Natural Language Processing (NLP) techniques for text extraction, analysis, and classification from customer documents.

- Implement and fine-tune Generative AI models and large language models (LLMs) for various business

applications, including prompt engineering for automation tasks.

Automation & Innovation :

- Use AI to streamline document verification, data extraction, and customer interaction processes.

- Innovate and automate manual processes, creating AI-driven solutions for internal teams and customer facing systems.

- Stay abreast of the latest advancements in machine learning, NLP, and generative AI, applying them to real world business challenges.

Qualifications :

- Bachelor's or Masters degree in Computer Science, Data Science, Statistics, or related field.

- 12-14 years of experience as a Data Scientist, with proficiency in Python, SQL, Power BI, and Excel.

- Expertise in building machine learning models and utilizing NLP techniques for text processing and automation.

- Experience in working with large language models (LLMs) and generative AI to create efficient and scalable solutions.

- Strong problem-solving skills, with the ability to work independently and in teams.

- Excellent communication skills, with the ability to present complex data in a simple, actionable way to non technical stakeholders