Sr Data Scientist

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    "ExternalDescriptionStr": "<p><strong>Why GM Financial Technology</strong><br><br>Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.<br><br>Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.</p>",
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    "ExternalResponsibilitiesStr": "<p><strong>About the Role:</strong></p><p>The Senior Data Scientist is responsible for &nbsp;Implementing the design, development, deployment, and maintenance of predictive/prescriptive/statistical models in originations, collections, risk, pricing, fraud, customer experience and marketing; &nbsp;Modeling with expertise in forecasting, optimization, data mining, analysis, and analyzing complex datasets; &nbsp; Conducting studies with the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; &nbsp;Summarizing, reporting, and providing polished presentations of findings to a variety of internal clients as well as working with other departments to achieve the overall company objectives; &nbsp;Lead in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance. &nbsp;The Senior Data Scientist is the subject matter expert with an in depth knowledge of quantitative methods and diligent knowledge of data sources and tools.</p><p><strong>In this role you will:&nbsp;</strong></p><ul><li>Provides leadership, coaching, and/or mentoring to Data Scientists I and II</li><li>Performs research, analysis, and modeling on organizational data</li><li>Assists in analyzing key metrics and performing data analysis</li><li>Builds technical knowledge to support research and analytic responsibilities including advanced techniques and algorithms</li><li>Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the business</li><li>Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions</li><li>Presents findings and analysis for use in decision making</li><li>Ensures that the delivered products meet the business needs of the company</li><li>Partners with and provide recommendations to business leadership on the appropriate application of analytics to business strategies and effectively communicate analysis and implications to senior leadership</li><li>Prioritizes tasks and meets project deadlines in a fast paced work environment</li><li>Strong quantitative, analytical and data interpretation skills with a solid foundation of mathematics, probability, and statistics</li><li>Ability to identify and understand business issues and map these issues into quantitative questions</li><li>Advanced knowledge and demonstrated understanding of applied methodologies including least squares regression, logistic regression, sampling methodologies, time series, survival analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies, non-parametric techniques, principal components, and linear programming techniques.</li><li>Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint</li><li>Ability to design and implement model documentation and monitoring protocols</li><li>Comprehensive knowledge and experience with technical systems, datasets, data warehouses, and data analysis techniques</li><li>Efficiently work with large datasets</li><li>Provides leadership, coaching, and/or mentoring to Data Scientists I and II</li><li>Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand</li><li>Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems</li><li>Ability to identify and seek needed information/research skills</li><li>Analytical thinking skills</li><li>Ability to interact collaboratively with internal and external customers</li><li>Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive environment, under pressure</li></ul>",
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