Senior Data Scientist

Role & Responsibility:

• 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.

In addition to the above, the following skills also need to be checked:

• Classical ML (Supervised/Unsupervised learning things like regression, clustering, etc.)
• Deep Learning (if any area needed it's likely to be limited to fine-tuning a model, not creating one from scratch).
• Optimisation (linear, non-linear, etc.)
• LLM/RAGs