Key Responsibilities:Design and implement data-driven solutions to identify trends, patterns, and insights from large datasetsCollaborate with cross-functional teams to define business objectives and develop data-driven strategies to achieve themConduct exploratory data analysis to identify data quality issues and recommend solutions for data cleaning and preprocessingApply various statistical and machine-learning techniques to model complex data and extract meaningful insightsCreate reports and visualizations to communicate analysis findings to technical and non-technical stakeholdersDevelop predictive models and algorithms to support decision-making processes based on historical dataContinuously monitor and improve the performance of existing data models and algorithmsStay up-to-date with the latest advancements in data science and bring new methods and technologies to the teamRequirements:Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related fieldProven experience as a Data Scientist or in a similar roleStrong proficiency in programming languages such as Python, R, or SQLExperience working with data visualization tools (Tableau, Power BI, etc.)Solid understanding of statistical models and machine learning algorithms (regression, classification, clustering, etc.)Excellent analytical and problem-solving skills with the ability to think creatively and independentlyStrong communication skills and the ability to present complex data in a clear and concise mannerAbility to work in a fast-paced, dynamic environment and handle multiple projects simultaneouslyWillingness to continuously learn and explore new technologies and techniques in data science