Senior Data Scientist

4 weeks ago

Goa, India 91HR Full time

Synopsis : We are seeking a skilled Data Scientist with expertise in data analytics, machine learning, and AI to contribute to our business growth and automation.

We require a strong command of data tools, programming, and knowledge of LLMs and Generative AI, driving innovation and process improvements across the organization.

Data Analysis & Visualization :

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

- Design and implement insightful dashboards using Power BI to facilitate data-driven decision making.

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

- 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 :

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

- 8-10 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

(ref:hirist.tech)

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