Data Scientist
8 hours ago
he candidate should at minimum show proficiency in:
- Strong Python and intermediate SQL skills
- Experience building, deploying, and evaluating ML/NLP/GenAI systems.
- Experience with ML system design
- Very strong (including written) communication skills and ability to break down and articulate complex tasks into implementation strategies
- Software engineering best practices, including testing, OOP, etc.
- Knowledge of cloud systems, especially azure preferred.
- A more traditional ML perspective, some knowledge and understanding of mathematical optimizers, how to select the best ones for purpose and set parameters
Must Have:
- Experience working closely with other data scientists, data engineers’ software engineers, data managers and business partners.
- Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers.
- Can carry out data analyses to yield actionable business insights.
- Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments.
- Applied knowledge of data science tools and approaches across all data lifecycle stages.
- Thorough understanding of underlying mathematical foundations of statistics and machine learning.
- Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
- Advanced SQL knowledge.
- Knowledge of experimental design and analysis.
- Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail.
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