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Data Scientist
Skills
Computer ScienceSQLArtificial IntelligenceData ManipulationData ScienceData VisualizationMachine Learning
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- At least 5 years of experience as a Data Scientist or Engineer
- Business level English verbal and writing
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
- Minimum two years experience as an ML engineer
- Proficiency in data manipulation and analysis tools like SQL and Pandas
- Familiarity with Data Warehousing
- Experience in developing, evaluating, deploying, running, and maintaining ML models
- Strong understanding of AI agents, NLP, and machine learning concepts
- At least 5 years of experience using LLMs and LLM-enabled programs
- Experience with LangChain or other AI agent frameworks
- Experience with LLM observability
- Familiarity with prompt engineering best practices
- Familiarity with data structures for ML and AI programs including RAG and vector databases
- Experience with building systems and infrastructure preferred
- Strong problem-solving and critical-thinking skills
- Excellent communication and presentation skills
Nice to have
- Strong problem-solving skills
- Critical-thinking skills
- Business level English
- Excellent communication and presentation skills
Day to day
- Transform data into actionable insights to drive systems and solutions
- Develop and improve robust conversational agents
- Collaborate with specialists to enhance and deliver innovative solutions