Senior Data Scientist

Description

Job Summary

The overall purpose of this position is to develop and promote an Advanced Analytics practice using Artificial Intelligence (AI) and Machine Learning (ML) within Information Technology. This is a hands-on position and the incumbent in this position is primarily responsible for development, design and implementation of advanced analytics solutions using AI & ML techniques, with the goal of gaining insights into all aspects of IEEE's business, be it customer / member acquisition / engagement / retention, geo-unit activities / participation, volunteer onboarding / initiatives / participation / continuity, conference logistics / statistics / performance, publication production / consumption / profitability, standards opportunity / development / adoption, industry engagement etc., to advance IEEE's mission of fostering technological innovation and excellence for the benefit of humanity.

The role will report to the Director, Chief Enterprise & AI Solutions Architect, and will not manage any direct reports. The individual in this position is expected to work independently under minimum direction and supervision.

Key Responsibilities

• Designs and builds leading edge predictive models and AI / ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software applications
• Designs and develops data collection processes to support these models
• Design A / B testing framework for product-driven decisions
• Builds a structure and process for modeling, predicting, and classifying user behavior and other business metrics
• Studies, explores, and evaluates new and existing data sources to determine their effectiveness and accuracy for use in AI / ML models. Provide actionable recommendations to business stakeholders
• Works with technology stakeholders to define the big data infrastructure needed to design and develop the AI / ML models
• Assists in growing the Data Science discipline in IEEE and applying Artificial Intelligence techniques (including Data Science and Machine Learning) where appropriate in delivering technology solutions to business problems
• Helps evangelize the use of AI / ML solutioning by showcasing the outcomes to business stakeholders
• Develops tools and processes to periodically validate AI / ML models against expected and observed outcomes and assess impact on business defined key performance indicators; Iteratively improve models based on findings
• Contributes to the development of architectural designs for data acquisition by and the delivery of AI-driven insights to the systems of engagement
• Implements new technologies like generative AI and large language models
• Contributes to the organizational adoption of generative AI and the establishment of a governance model for generative AI applications

Qualifications

Education

Work Experience

Skills and Requirements

Other Requirements :

As defined in IEEE Policies, individuals currently serving on an IEEE board or committee are not eligible to apply.

PLEASE NOTE : This position is not budgeted for employer-sponsored immigration support, this includes all persons in F (both CPT and OPT), J, H, L, or O status.

For information on work demands and conditions required for this position, please consult the reference document, "Physical, Mental, and Work Environment Standards for IEEE Positions." This position is classified under Category I - Office Positions.

IEEE is an EEO / AAP Employer / Protected Veteran / Disabled

Disclaimer : This job description is proprietary to IEEE. It outlines the general nature and key features performed by various positions that share the same job classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and qualifications required of all employees assigned to the job. Nothing in this job description restricts management’s right to assign or re-assign duties to this job at any time due to reasonable accommodations or other business reasons.