Data Scientist - R01570830

Job description

**Data Scientist** ### Job requirements **Experience Range:** With 4 to 6 years of experience in advanced data science roles, including hands-on involvement in machine learning and statistical modeling projects **Key Responsibilities:** - Develop and implement Next Best Offer models and advanced data science solutions to drive business objectives and enhance customer engagement - Apply statistical techniques such as hypothesis testing, t-tests, z-tests, and regression methods to extract actionable insights and support data-driven decision-making - Build, validate, and optimize machine learning models using Python, PySpark, and R to ensure high accuracy and reliability - Leverage probabilistic graph models and classification algorithms, including decision trees and support vector machines, to address complex business challenges - Optimize and automate machine learning pipelines for scalable deployment using KubeFlow and BentoML, improving operational efficiency - Conduct comprehensive statistical analysis with SAS, SPSS, and R Studio to inform business strategies - Monitor model performance using evaluation metrics and recommend data-driven improvements to maintain model effectiveness - Collaborate with cross-functional teams to translate business requirements into impactful data science solutions **Required Skills:** - Python - PySpark - SAS - SPSS - R - Probabilistic graph models - Regression methods (linear and logistic) - Forecasting methods (exponential smoothing, ARIMA, ARIMAX) - TensorFlow - PyTorch - Scikit-learn - CNTK - Keras - MXNet - Decision trees - Support Vector Machines (SVM) - Distance metrics (Hamming, Euclidean, Manhattan) - KubeFlow - BentoML **Preferred Skills:** - Experience with Great Expectations and Evidently AI for model validation and monitoring - Expertise in deploying machine learning models in cloud-based environments - Knowledge of advanced ensemble methods and boosting algorithms - Familiarity with A/B testing and experimental design - Background in recommendation systems and personalization algorithms **Desired Qualifications:** - Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a quantitative discipline relevant to data science - Certification in Machine Learning or Data Science from a recognized institution such as Coursera, edX, or DataCamp - Relevant certification in statistical analysis or analytics, such as SAS Certified Statistical Business Analyst