Senior Data Scientist

Job Responsibility:

Design, build, and enhance machine learning models to tackle real-world challenges using structured and unstructured data.
Partner with business stakeholders to identify, define, and prioritize ML use cases aligned with strategic objectives.
Convert data science outputs into actionable insights and communicate findings clearly to non-technical audiences.
Monitor and optimize AI solutions to ensure they deliver measurable business value.
Stay ahead of emerging trends in Generative AI and ML, leveraging the latest technologies to create impact.

Job Requirements

Strong foundation in machine learning, statistical methods, data manipulation, and proficiency in Python, SQL, and ML libraries.
Hands-on experience with cloud platforms such as Azure, GCP, or Databricks.

Familiarity with Large Language Models (LLMs) is an advantage.
Exceptional analytical and problem-solving skills.
Ability to communicate complex technical concepts in a clear, business-friendly manner.
High attention to detail and a commitment to delivering quality outcomes.
Passion for continuous learning in the fast-evolving ML landscape.