Sr. Data Scientist

This role will work with data from a variety of disparate internal and third party data sources to generate data driven insights that will be the foundation of products and solutions that allow our enterprise risk management group to make better decisions. These decisions enable the wider organization parts of the business to align with NAB's vision of being the easiest payments company to do... business with. The ideal candidate will have experience leveraging structured and unstructured data to build models along with experience in automating data driven solutions leveraged by stakeholders. What you'll be doing: Research, develop and implement statistical learning models for data analysis Processing, cleansing, and verifying the integrity of data used for analysis Collaborate with various business units to understand company needs and devise possible solutions Extending company's data with third party sources of information when needed Keep up-to-date with the latest data science technology trends Communicate results and ideas to key decision makers within enterprise risk management and sales organizations Doing ad-hoc analysis and presenting results in a clear manner Ensuring alignment with the enterprise Data Science team on toolsets and methodologies. Conduct analysis of situations or data requires an in-depth evaluation of variable factors, assurance of information accuracy, and a high degree of attention to detail to ensure credibility when dealing with key leaders. What we need from you: Master's Degree in Computer Science, Statistics, Applied Math or related field 5 years of practical experience with R/Python/SAS/Spark, ETL, data processing, database programming and data analytics Experience working with data in payments, security, fraud or risk focused roles is preferred, but not required. Extensive background in data mining and statistical analysis Able to understand various data structures and common methods in data transformation Excellent pattern recognition and predictive modeling skills Excellent understanding of machine learning techniques and algorithms. This includes, but is not limited to regression, clustering, neural network, ensemble, dimensionality reduction, anomaly detection. Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Great communication skills Experience with data visualization tools, such as Einstein Analytics, Tableau, GGplot, etc. Proficiency in using query languages such as SQL, Hive, Pig A high proficiency in SQL and other similar tools; ETL, Informatica, Redshift and other Big Data components experience preferred. Capacity to embrace change and quickly adapt to new situations, changes in direction and altering priorities. Demonstrated skill to think outside the box and challenge the status quo. Detail-oriented with excellent analytical skills, a strong working knowledge of problem solving and root cause analysis. Experience with integration of data from multiple structured and unstructured data sources. Ability to work independently while also being able to work in a cross-organizational team. Demonstrated ability to work and communicate with multiple levels within the organization. Ability to track multiple initiatives and meet deadlines; able to prioritize effectively. North American Bancard Holdings, LLC (NAB) our vision is a new paradigm of commerce that simplifies the modern business model -- driving smarter operations, enhancing security, and fostering effortless personal interaction between merchants and their customers. Throughout our growth, we've stayed agile in order to stay at the forefront of the ever-changing payments landscape. While we are large enough to offer customized solutions to enterprise-level clients we're still nimble enough to take an award-winning, hands-on approach to personal service you just won't find anyplace else. At North American Bancard, we celebrate diversity and create an inclusive environment for everyone. We are an equal opportunity employer. Salary Range: $130K -- $200K Minimum Qualification Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications