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

• Bachelor's degree or equivalent experience Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics/ related fields or equivalent experience Req
• Master's or other advanced degree Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics Pref

• 7-10 years relevant experience in Information Technology Pref
• ● 3+ years of hands-on experience in developing AI and ML solutions Req
• ● 4+ years of hands-on experience using statistical computer languages, such as R or Python Req
• ● 2+ years of experience working with data science tools, such as Pandas, NumPy, MatLab or Jupyter Notebooks Req
• ● 3+ years in developing Advanced Analytics solutions, including but not limited to, Data Visualization tools. Req
• ● 5+ years hands on experience in SQL and database technologies. Req
• ● 2+ years of experience working with cloud services, preferably AWS Req
• 4-7 years years experience IT/Software/Application development and design Req
• ● 2+ years of experience working with large data sets and using big data solutions such as Hadoop, Hive, Spark, MongoDB and Redshift Pref

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Rigorous understanding of statistics and ability to discern appropriate statistical techniques to solve problems
• Proven ability to initiate and drive projects from conception to completion given poorly scoped problem statements.
• Proven analytical thinking and problem solving skills.
• Strong experience using data mining/data analysis methods, a variety of data tools, building and implementing AI/ML models, using/creating algorithms and creating/running simulations using both structured and unstructured data sets
• Experience in evaluating software tools & techniques and making recommendations
• Proven record of excellent analytical skills and understanding business needs
• Excellent communication and consensus building abilities