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
1418 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 Scikitlearn.
Leadership & Communication: Proven ability to lead and inspire highperforming teams.
Exceptional communication and presentation skills with the ability to influence senior stakeholders. Experience in mentoring and upskilling team members.
Education: Masters or Ph.D. in Data Science Computer Science Statistics Mathematics or related fields
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