The role involves leading and managing data science teams while overseeing the deployment of machine learning models and advanced analytics solutions
Job Summary
The role involves leading and managing data science teams while overseeing the deployment of machine learning models and advanced analytics solutions.
Candidates must align data strategies with business objectives to ensure actionable insights drive decision-making across engineering and product teams.
The position requires mentoring data scientists and staying updated on emerging trends in artificial intelligence and data science best practices.
Matching Summary
The role involves leading and managing data science teams while overseeing the deployment of machine learning models and advanced analytics solutions.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
Python R or SQL proficiency
Machine learning frameworks expertise
Big data technologies experience
Cloud platform knowledge AWS Azure GCP
Statistical modeling and predictive analytics
Data visualization tools usage
GenAI APIs and LLMs experience
Nice-to-have
MLOps pipeline building skills
Leadership and people management abilities
Strong business acumen for strategy
Effective communication with stakeholders
Adaptability to evolving needs
Continuous learning mindset
Collaborative cross-functional teamwork
Key Requirements
Proficiency in Python R or SQL
Experience with TensorFlow PyTorch Scikit-Learn
Knowledge of Spark and cloud platforms
Understanding of statistical modeling and deep learning
Familiarity with GenAI and prompt engineering
Ability to build MLOps pipelines using MLflow Docker
Optional certifications like AWS ML Specialty or Azure AI Engineer