Purpose
Leads proliferation of machine learning and artificial intelligence throughout the enterprise.
Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining.
Uses advanced analytical capabilities to support data science initiatives.
Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models.
Leads interactions between analytics, business units and other departments.
Essential Functions
- 20% Leads all data mining and extraction activities and applies algorithms to derive insights.
- 15% Synthesizes analytical findings for consumption by the teams and senior executives.
- 15% Leads proliferation of machine learning and artificial intelligence solutions.
- 15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.
- 15% Mentors and develops junior data scientists for advanced data analysis.
- 10% Translates business priorities and creates data science deliverables.
- 10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software.
Required Experience
8-10 years of experience as Data Scientist.
Should have worked as a Lead Data Scientist.
Data Science with AI/ML engineering experience is a must.
A Data Scientist with understanding of solution designing can fit for this role.