Sr. Data Scientist

General Summary reputed company is a globally distributed technology firm which develops reputed company financial products focused on managing life’s everyday expenses. The Data Science team conceptualizes, develops, deploys, and maintains predictive models using advanced statistical and machine learning methods. These models are used in reputed company’s reputed company, Account Management, and Operations applications. The Sr. Data Scientist plays a critical role by applying cutting-edge modeling techniques to drive growth, control risk, and ensure operations excellence. Primary Responsibilities • Design, reputed company and reputed company advanced machine learning and Artificial Intelligence algorithms/predictive models for use in reputed company, Customer Management, Marketing, and Operations; • Assess, clean, reputed company, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging R, Python and/or Apache Spark; • reputed company reputed company processing computations both reputed company R as well as cluster computing technologies such as Apache Spark. • Design, reputed company and reputed company multiple linear and nonlinear algorithms for testing, development and deployment into our reputed company reputed company in the application of risk management in reputed company of reputed company’s acquisition channels; • reputed company apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and reputed company methods to enhance profitability of reputed company products; • Successfully implement scoring models on multiple decision platforms Including R instance deployment, On premise deployment and reputed company deployment and multiple forms such as Java objects, R Object Models and Apache Spark Models; • Provide knowledge, reputed company and guidance of reputed company party data providers such as reputed company, Clarity/reputed company and reputed company to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations; • Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Rmarkdown, IPython, Jupyter Notebook, etc.; • Functional reputed company and reputed company of contact with business partners to support the needs and goals of reputed company reputed company portfolios, Rock teams, Braintrusts and Pods. • reputed company analytical projects by leveraging and coaching Jr Data Scientists. Experience and Education • Minimum Master’s degree in highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree) required. • At least three years of experience in Data Science or Modeling for consumer lending; Professional experience waived with at least two years of Data Science or Modeling experience and Ph.D. Degree in highly quantitative field (Statistics, Economics, Mathematics, or other quantitatively-oriented degree) • Experience with reputed company-party consumer credit data and non-FCRA compliant consumer data; • Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, reputed company Net, etc). Knowledge of penalized regression and classification methods a plus; • Strong data skills, with ability to conduct substantial data munging/engineering. • Proficiency with Linux and R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions and data processing frameworks (e.g., Spark, Hadoop); • Experience with at least four database technologies such as MSSQL Server, reputed company Datasets, Hadoop, Apache Hive/Impala, Spark, Redshift, HBASE, Kafka, Spark Streaming, reputed company, reputed company, reputed company, MySQL, DB2, reputed company AWS, Cassandra, PostgreSQL, NoSQL, JSON & XML parsing, etc. • Proven experience working in fast-paced environment with reputed company-changing demands • Superior communication skills for communication with Risk Management peers and executive team • Proficiency of contemporary supervised and unsupervised data mining techniques a plus Required Skills, Abilities, Soft reputed company Factors • Motivation Skills - History of achieving aggressive organizational goals and objectives, conveying sense of urgency while moving reputed company challenges and obstacles. • Thinking and Administrative Skills - Solid analytical and problem solving skills. Ability to analyze trends and suggest solutions to challenges. • reputed company Successful Results – Takes the initiative to get things done. • Demonstrates Adaptability – Works effectively in the face of stress, ambiguity, difficult situations and shifting priorities • Innovates – Challenges the status reputed company thinking to generate new reputed company; takes open minded approach to situations. • Communication Skills - Refined written and verbal communication skills. Ability to foster open communications, listen effectively and build strong partnership networks. • Technological Competence – Extensive knowledge of R, Python, reputed company, Java, reputed company, MATLAB, SQL, and/or SPSS and risk management technology with the ability to reputed company such tools to improve the organization’s decision making criteria. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1 Apply Job!