Key Responsibilities:

Data Collection & Management

- Collect, measure, organize, and analyze large-scale datasets using Python, PySpark/Scala, and SQL
- Design, develop, and maintain databases and data models
- Conduct data mining, segmentation, and feature engineering to extract actionable insights

AI & Machine Learning Development
- Develop and implement AI/ML models utilizing OpenAI technologies, generative AI, and prompt engineering
- Create and deploy accurate algorithms to solve complex data problems
- Optimize data processes and algorithms for performance, scalability, and reliability

Statistical Analysis & Visualization
- Apply statistical methods and use statistical packages (e.g., Excel) to analyze datasets
- Utilize data visualization tools like Power BI to present findings effectively

Collaboration & Integration




- Collaborate with cross-functional teams to integrate AI and ML solutions into business processes
- Stay updated with the latest advancements in AI, ML, and data science to continuously enhance the technology stack

Qualifications & Experience:

- Proven experience as a Data Scientist or similar role, with hands-on experience in Python, PySpark/Scala, and SQL
- Experience with AI/ML frameworks, generative AI, and OpenAI technologies
- Solid knowledge of data modeling, databases, and data visualization tools like Power BI
- Experience in data mining, statistical analysis, and algorithm development
- Excellent communication and collaboration skills

📌 Data Scientist (Bengaluru)
🏢 Neudesic Technologies
📍 Bengaluru