| 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. JOB FAMILY DESCRIPTION The Lead Data Scientist is 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 da ta 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 & RESPONSIBILITIES - Works 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 GUIDELINES Bachelor’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 & ABILITIES - Experience manipulating data sets and building statistical models
- Experience with deep learning and NLP (natural language processing) techniques
- Experience working with and creating data architectures
- Strong project management skills with experience as the lead on large projects, guiding project teams to meet deliverables
- Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets
- Experience with Git and strong understanding of pull request workflows
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, etc.
- Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. a plus
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, etc. a plus
- Strong problem solving skills with an emphasis on product development
- Excellent written and verbal communication skills for coordinating across teams
JOB FAMILY LEVEL Expert professional level role. Works with financial models of high complexity using advanced mathematical, analytical or econometric tools. Defines and discerns key aspects of problems that require intricate analysis and research, and develops highly complex solutions within a broad technical and business context. Works on varied, complex projects that require in-depth skill in multiple technical environments and deep market knowledge. Works on multiple concurrent projects as a project team lead or as a project team member. Coaches and/or mentors cross-functional staff. Uses and has knowledge of a suite of mathematical/analytical tools to perform appropriate analysis. Typically requires ten (10) or more years of related work experience with mathematical formulas, algorithms and computer programs used to create and/or analyze complex models of market trends and risks. Black Knight is an Equal Opportunity/Affirmati ve Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, and protected veteran or military family status. Our employees’ diversity is our strength, and when we embrace our differences, it makes us better and brighter. Black Knight’s commitment to inclusion is at the core of who we are, and motivates us in how we do business each and every day. |
