Fulltime Senior Data Scientist

Description

Job Summary
The overall purpose of this position is to develop and promote an Advanced Analytics practice using Machine Learning (ML), Statistics and other mathematic and computational techniques 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 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 mission of fostering technological innovation and excellence for the benefit of humanity.

The role will report to the Director, Data Strategy and Enablement, 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 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

Work Experience

• 7-10 years relevant experience in Information Technology Pref
• 3 years of hands-on experience in developing ML solutions Req
• 4 years of hands-on experience using statistical computer languages, such as Python or R 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

Skills and Requirements

• 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