Data Scientist (GenAI, AI/ML)

 

 

Building data models

 

PURPOSE: 
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. Acting as a liaison and interface between analytics, business units and other departments.

 

ESSENTIAL FUNCTIONS:
20% Leads data mining and extraction activities and applies algorithms to derive insights.

20% Uses data to understand the data profile and its limitations and applies it to business solutions. 

15% Collaborates with business units to innovate organizational performance.

15% Explores data patterns using existing data science tools.

10% Translates business priorities to data science deliverables.

10% Implements new data products and builds robust and scalable software.

10% Leads/Guides DS on implementing best practices for projects and applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.

 

Qualifications:
Experience: 5-8 years of relevant work experience.

 

Preferred Qualifications:
Ability to work independently without detailed guidance., Advanced
Ability to communicate effectively and document objectives and procedures., Advanced
Ability to leverage a variety of data science tools and frameworks., Advanced
Knowledge in model evaluation, tuning and performance, operationalization, and scalability of scientific techniques., Advanced
Knowledge of software engineering principles and practices., Advanced
Proficiency in statistical modeling applications., Advanced
Proficiency in advanced SQL in multiple syntaxes., Advanced