IEEE
Senior Data Scientist
IEEE, Piscataway, New Jersey, United States,
Job SummaryThe 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 ResponsibilitiesDesigns 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.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.QualificationsEducation
Bachelor's degree or equivalent experience in Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics/ related fields or equivalent experience (Required).Master's or other advanced degree in Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics (Preferred).Work Experience7-10 years relevant experience in Information Technology (Preferred).3+ years of hands-on experience in developing AI and ML solutions (Required).4+ years of hands-on experience using statistical computer languages, such as R or Python (Required).2+ years of experience working with data science tools, such as Pandas, NumPy, MatLab or Jupyter Notebooks (Required).3+ years in developing Advanced Analytics solutions, including but not limited to, Data Visualization tools (Required).5+ years hands-on experience in SQL and database technologies (Required).2+ years of experience working with cloud services, preferably AWS (Required).4-7 years experience in IT/Software/Application development and design (Required).2+ years of experience working with large data sets and using big data solutions such as Hadoop, Hive, Spark, MongoDB and Redshift (Preferred).Skills and RequirementsExcellent 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.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.A non-profit organization, IEEE is the world's leading professional association for the advancement of technology.
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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 ResponsibilitiesDesigns 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.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.QualificationsEducation
Bachelor's degree or equivalent experience in Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics/ related fields or equivalent experience (Required).Master's or other advanced degree in Computer Applications/ Computer Science/ Computer Engineering/Applied Mathematics/ Statistics (Preferred).Work Experience7-10 years relevant experience in Information Technology (Preferred).3+ years of hands-on experience in developing AI and ML solutions (Required).4+ years of hands-on experience using statistical computer languages, such as R or Python (Required).2+ years of experience working with data science tools, such as Pandas, NumPy, MatLab or Jupyter Notebooks (Required).3+ years in developing Advanced Analytics solutions, including but not limited to, Data Visualization tools (Required).5+ years hands-on experience in SQL and database technologies (Required).2+ years of experience working with cloud services, preferably AWS (Required).4-7 years experience in IT/Software/Application development and design (Required).2+ years of experience working with large data sets and using big data solutions such as Hadoop, Hive, Spark, MongoDB and Redshift (Preferred).Skills and RequirementsExcellent 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.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.A non-profit organization, IEEE is the world's leading professional association for the advancement of technology.
#J-18808-Ljbffr