Vakilsearch - Data Scientist - Zolvit

Full Stack Scientist @ Zolvit (formerly Vakilsearch)

Role 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:

1. 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.

2. 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.

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

- 4-7 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.