Senior Data Scientist

<ul><li>Drive technical roadmap to extend risk monitoring across identified threat surfaces.</li><li><p>Develop/experiment/ship state-of-the-art prediction models</p></li><li><p>Use excellent data science practices to iteratively produce high performing models</p></li><li><p>Create immediate impact through sound and practical deliveries of risk monitors</p></li><li><p>Work with engineering colleagues to convey findings through data visualizations</p></li><li><p>Measure, tune and refine existing algorithms to incrementally improve performance</p></li><li><p>Analyze new and existing data after extracting. transforming and combining it in novel ways</p></li><li><p>Convey needs to engineering and operations teams to ensure healthy feedback loops</p></li><li><p>Attract and onboard new talent while preserving and enhancing existing culture</p></li><li><p>Build strong partnerships and collaborate with other teams across the enterprise</p></li><li><p>Demonstrate sense ownership and personal accountability for your team's work</p></li></ul>

<p><strong>Basic Qualifications:</strong></p><ul><li><p>5+ years applied data science experience, including 3 years of advanced analytics experience focused on enterprise-specific problem solving</p></li><li><p>2+ years management, mentoring, or other closely related team or people leadership experience</p></li><li><p>Experience in machine learning (supervised, semi-supervised or unsupervised learning)</p></li><li><p>Strong communication, delivery management, and leadership skills<br>&nbsp;</p></li></ul><p><strong><u>Preferred Qualifications</u></strong></p><ul><li><p>A bachelor’s degree, MSc or Ph.D. in Statistics, Data Science, Artificial Intelligence, or equivalent alternative education or experience</p></li><li><p>Applied experience with SQL, also Python or R or Scala, and modern data science tools/packages e.g. PyTorch, Transformers, TensorFlow, scikit-learn</p></li><li><p>Applied experience with Databricks and/or Azure ML</p></li><li><p>Strong coding abilities in one or more scripting languages like Python or SQL</p></li><li><p>Understanding of compliance, security, and risk domains along with associated patterns and data elements</p></li><li><p>Understanding of product and services activation, use, and transaction models and data</p></li><li><p>Understanding of statistical analysis and machine learning tools and practices</p></li><li><p>Understanding of Cloud-centric data processing and visualization approaches including SQL and NoSQL databases with exposure to Azure SQL, Azure Cosmos DB, Data Factory, Synapse, Azure Data Lake, etc</p></li><li><p>Familiarity with Agile software delivery including application lifecycle mgmt (SAFe, Azure DevOps/VSTS, Git)</p></li></ul>