PWe are seeking a talented and motivated Data Scientist to join our team and contribute to the development of data-driven solutions that address real-world business challenges. This role offers the opportunity to work with advanced machine learning models, large datasets, and modern analytics tools in a collaborative, innovation-focused environment. If you have a passion for extracting insights from data, a strong foundation in statistical analysis and machine learning, and a problem-solving mindset, we’d love to hear from you! /ppKey Responsibilities /pulliCollect business requirements and translate them into technical solutions and algorithm specifications /liliDesign, develop, and implement analytics solutions using sound engineering principles and best practices /liliConduct risk analysis, conceptual design reviews, and ensure alignment with product requirements /liliExecute software development in incremental cycles with continuous monitoring and validation /liliPerform analytics validation at fleet level and manage deployment to production environments /liliEnsure compliance with data science standards and conduct quality assurance of solutions /liliCoordinate with cross-functional teams and present results to business stakeholders /li /ulpRequired Qualifications /pulliBachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field /lili3+ years of experience in machine learning, statistical modeling, or related analytical roles /liliStrong proficiency in Python and solid foundation in machine learning, data analysis, and statistics /liliProficiency with statistical analysis and machine learning fundamentals /liliHands-on experience with software development best practices and version control systems. /liliUnderstanding of SQL and database management systems /liliExcellent analytical and problem-solving skills with a high attention to detail /li /ulpPreferred Qualifications /pulliMaster's degree in Data Science, Statistics, or a related quantitative field /liliExperience with advanced machine learning algorithms and ensemble methods /liliHands-on knowledge of data preprocessing techniques and feature engineering /liliFamiliarity with cloud-based development and deployment environments. /liliUnderstanding of MLOps principles and deployment pipelines. /liliExperience with deep learning frameworks (TensorFlow, PyTorch) and neural network architectures /liliUnderstanding of time series analysis and advanced forecasting technique /li /ulpApply now to join our innovative team and help shape the future of AI! /p