Data Scientist
Skills
AlgorithmsAnalyticsAutocadCSSData EngineeringData ScienceDeep Learning
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3+ years of experience as a Data Scientist or ML Engineer with production-grade models
- Proficiency in Python and the core data science stack including pandas NumPy scikit-learn and FastAPI
- Strong proficiency in SQL and experience querying large datasets in cloud environments such as Azure or AWS
- Experience building and deploying ML models and APIs including model serving and monitoring
Nice to have
- Growth Mindset
- Disciplined Curiosity
- Grit
- Results Ownership
- Collaboration
- Comfortable navigating ambiguity
- Entrepreneurial mindset
Day to day
- Build and deploy machine learning models and scalable data pipelines in Python using modern data science libraries.
- Develop and improve LLM-powered applications and Retrieval-Augmented Generation pipelines with prompt engineering embedding strategies and evaluation frameworks.
- Conduct exploratory analysis create visualizations and collaborate across teams to turn data into clear business insights and production-ready solutions.