Lead and manage data science projects and teams, focusing on deploying and fine-tuning LLMs, utilizing advanced machine learning techniques, and communicating insights effectively.
Principal Data Scientist
Primary Skills
- Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
Job requirements
- Key Qualifications Technical Expertise:
- Principal Data Scientist with strong LLM skills. Must have experience in deploying and fine tuning LLMs in at least 1 project
- 14-18 years of experience in data science, machine learning, or advanced analytics, with at least 5 years in a leadership role.
- Proficiency in programming languages like Python, R, or Scala. Deep understanding of machine learning, deep learning, and statistical modelling techniques.
- Expertise in cloud platforms (AWS, Azure, or GCP), big data technologies, and ML Ops. Familiarity with frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Leadership & Communication: Proven ability to lead and inspire high-performing teams.
- Exceptional communication and presentation skills, with the ability to influence senior stakeholders. Experience in mentoring and upskilling team members.
- Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related fields
Top Skills
AWS
Azure
Excel Vba
GCP
Python
PyTorch
R
Scala
Scikit-Learn
TensorFlow
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