<p>We are seeking a Data Scientist / Analytics Specialist to leverage advanced analytics and machine learning techniques to extract value from business data and drive strategic decision-making. The ideal candidate will have strong SQL programming experience, expertise in large database systems, and familiarity with modern data science tools and cloud platforms.</p><p>Key Responsibilities:</p><ul><li>Apply advanced analytics methods to extract insights from structured and unstructured data</li><li>Perform large-scale experimentation and build predictive models to answer business questions</li><li>Conduct research on cutting-edge machine learning and AI techniques</li><li>Define requirements for training and evolving deep learning models and algorithms</li><li>Influence product teams through data-driven recommendations and presentations</li><li>Develop and maintain scalable data pipelines and analytics workflows</li><li>Perform other duties as assigned</li></ul><p><br></p>

<p>Must-Have Qualifications:</p><ul><li>Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, Hadoop</li><li>Master’s degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science, Information Systems, Operations Research, or a STEM field and 3+ years of analytics or data science experience</li><li>OR Bachelor’s degree with 5+ years of analytics or data science experience</li><li>OR PhD in a related field (no experience required)</li><li>Experience with R, RStudio, Python, SAS, SQL, NoSQL</li></ul><p>Nice-to-Have Skills:</p><ul><li>3+ years of experience with Python, R, or Spark programming</li><li>Familiarity with AWS SageMaker, Streamlit, and cloud-based ML environments</li><li>Knowledge of predictive modeling, Bayesian inference, and advanced statistical methods</li><li>Experience with TensorFlow, scikit-learn, or similar ML frameworks</li><li>Background in financial services is a plus</li></ul><p><br></p>

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