AI - Data Scientist

Company Overview

Position Overview

Data Scientist

Responsibilities

• Develop and prototype innovative data and AI products using classical machine learning methods and generative AI (GenAI)
• Take ownership of developing, implementing, and automating robust data science models and pipelines, including feature generation, modeling, evaluation, retraining and deployment
• Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics
• Collaborate with cross-functional teams to understand requirements and deliver innovative Data Science/ML/AI solutions
• Conduct research on the latest Data Science/ML/AI developments and apply them to improve our systems
• Document processes, code, and findings for future reference and knowledge sharing

Required skills and experience

• Proven hands-on experience (5 years) designing and implementing diverse data science and machine learning models to solve real-world business problems
• Expert programming skills in Python and SQL and with relevant ML & AI frameworks (Scikit-learn, Pandas, etc) and design patterns (e.g. RAG)
• Experiment with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines
• Deep understanding of Data Science/ML toolsets, methodologies and appraches
• Strong problem-solving skills with excellent communication and documentation skills
• Ability to work collaboratively with cross-functional teams

Nice to have skills

• Master's or PhD degree in Computer Science, AI, Machine Learning, or a related field.
• Software engineering background, ideally in backend or ML development and system integration
• Deep understanding of current DataOps & MLOps practices, deploying and monitoring models and ETL (extract, transform and load) pipelines
• Experience with AI/ML R&D
• Experience with distributed data tools (eg. Spark, Dask, Apache Arrow)

Come as you are

Everyone is welcome here.

ESG

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