Data Scientist - Predictive Modeling & Generative AI

Job Title: Data Scientist - Predictive Modeling & Generative AI

Job Description

We are seeking a highly skilled and proactive Data Scientist to join our Data Science & Analytics team. This role focuses on building predictive models, exploring generative AI applications, and delivering data-driven solutions to support operational and business needs. The ideal candidate will have strong technical expertise, excellent communication skills, and a passion for innovation.

Responsibilities

• Lead and contribute to predictive modeling projects, including data quality verification, exploratory data analysis, rule engine development, ML model training, and performance optimization.
• Explore and apply generative AI technologies, including multimodal large models and large language models (LLMs), to solve real-world problems such as intelligent chatbots and image recognition.
• Design and implement data reporting solutions tailored to operational and region-specific business requirements.
• Collaborate cross-functionally with QA, business stakeholders, other DT teams, and engineering teams to ensure timely and high-quality delivery.
• Document development processes and design decisions in English and maintain version control using Git or ADO.

Experience / Qualifications

• Master’s degree or above in Computer Science, Software Engineering, Data Science, or related field.
• Minimum 3 years of experience in data science, machine learning, or AI-related roles.
• Proficient in Python and Spark, with hands-on experience in libraries such as Pandas, Scikit-learn, PySpark, and Spark MLlib.
• Experience with Databricks or similar platform for managing ML experiments, building LLM services, and performing model fine-tuning.
• Solid understanding of statistical analysis, feature engineering, and prompt engineering.
• Familiar with Python unit testing frameworks such as Pytest and UnitTest.
• Strong SQL skills and understanding of database performance optimization.
• Experience with Web APIs, with attention to performance and security.
• Excellent communication skills and ability to write and read English technical documentation.
• Experience contributing to open-source projects or participating in community discussions is a plus.
• Knowledge of Azure Cloud is preferred.

• Master’s degree or above in Computer Science, Software Engineering, Data Science, or related field.
• Minimum 3 years of experience in data science, machine learning, or AI-related roles.
• Proficient in Python and Spark, with hands-on experience in libraries such as Pandas, Scikit-learn, PySpark, and Spark MLlib.
• Experience with Databricks or similar platform for managing ML experiments, building LLM services, and performing model fine-tuning.
• Solid understanding of statistical analysis, feature engineering, and prompt engineering.
• Familiar with Python unit testing frameworks such as Pytest and UnitTest.
• Strong SQL skills and understanding of database performance optimization.
• Experience with Web APIs, with attention to performance and security.
• Excellent communication skills and ability to write and read English technical documentation.
• Experience contributing to open-source projects or participating in community discussions is a plus.
• Knowledge of Azure Cloud is preferred.