Fulltime Remote Sr Data Scientist in New Jersey

This position aims 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 the 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 ResponsibilitiesDesigns and builds leading edge predictive models and AI / ML algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software applicationsDesigns and develops data collection processes to support these modelsDesign A / B testing framework for product-driven decisionsBuilds a structure and process for modeling, predicting, and classifying user behavior and other business metricsStudies, 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 stakeholdersWorks with technology stakeholders to define the big data infrastructure needed to design and develop the AI / ML modelsAssists 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 problemsHelps evangelize the use of AI / ML solutioning by showcasing the outcomes to business stakeholdersDevelops 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 findingsContributes to the development of architectural designs for data acquisition by and the delivery of AI-driven insights to the systems of engagementImplements new technologies like generative AI and large language modelsContributes to the organizational adoption of generative AI and the establishment of a governance model for generative AI applicationsWork Experience7-10 years relevant experience in Information Technology Pref3 years of hands-on experience in developing ML solutions Req4 years of hands-on experience using statistical computer languages, such as Python or R Req2 years of experience working with data science tools, such as Pandas, NumPy, MatLab or Jupyter Notebooks Req3 years in developing Advanced Analytics solutions, including but not limited to, Data Visualization tools. Req5 years hands on experience in SQL and database technologies. Req2 years of experience working with cloud services, preferably AWS Req4-7 years years experience IT / Software / Application development and design Req2 years of experience working with large data sets and using big data solutions such as Hadoop, Hive, Spark, MongoDB and Redshift PrefSkills and RequirementsExcellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etcRigorous understanding of statistics and ability to discern appropriate statistical techniques to solve problemsProven 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 setsExperience in evaluating software tools & techniques and making recommendationsProven record of excellent analytical skills and understanding of business needsExcellent communication and consensus-building abilities