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BKFS I Services, LLC Data Scientist in Philadelphia, Pennsylvania

Reference #: 20-1405Position:Data ScientistJob Description:Black Knight is the premier provider of integrated technology, services, data and analytics that lenders and servicers look to first to help successfully manage the entire loan life cycle. Our deep understanding of regulatory and compliance issues complements the knowledge, technology and solutions we offer to help our clients achieve their business goals. Black Knight offers leading software systems; data and analytics offerings; and information solutions that facilitate and automate many of the business processes across the mortgage life cycle.Black Knight's Innovation Lab, HeavyWater, isteam of 15+ developers and product enthusiasts engineering a next generation Artificially Intelligent Virtual Assistant known as AIVA.AIVA works alongside operators, loan officers and lenders to make their jobs more efficient.Our team employs leading-edge cloud computing technology and leverage Amazon Web Services to build AIVA's infrastructure. Her make-up is well beyond mainstream workflow automation/RPA. We're continuously training AIVA's lexicon to give her context what she's studying. We tinker with algorithms and build deep learning networks to fortify her skill sets as she reads through bank statements, pay stubs, W2s and more. Most importantly, we capitalize on HUGE data sets from our enterprise clients so we can optimize our feature selection at scale.JOB FAMILY DESCRIPTIONData Scientists are responsible for analyzing data to gain insights to benefit the enterprise. Uses large data sets to find opportunities for product and process optimization and uses models to test the effectiveness of different courses of action. Responsible for using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data. Drives business results with data-based insights and discovers solutions hidden in large data sets improve business outcomes.GENERAL DUTIES and RESPONSIBILITIESWorks with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.Assesses the effectiveness and accuracy of new data sources and data gathering techniques.Develops custom data models and algorithms to apply to data sets.Uses predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Develops a testing framework and test model quality.Coordinates with different functional teams to implement models and monitor outcomes.Develops processes and tools to monitor and analyze model performance and data accuracy.Performs other related duties as required.EDUCATIONAL GUIDELINESBachelor's degree in Mathematics, Finance or the equivalent combination of education, training, or work experience. Master's degree or PHD in Statistics, Mathematics, Computer Science or another quantitative field is strongly preferred.GENERAL KNOWLEDGE, SKILLS and ABILITIESExperience manipulating data sets and building statistical modelsKnowledge and experience in statistical and data mining techniquesExperience using statistical computer languages (Pig, Python, SQL, etc.) to manipulate data and draw insights from large data setsKnowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications strongly preferred.Experience working with and creating data architectures strongly preferred.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural net