Requirements
Qualifications & SkillsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field2+ years of experience in data analysis, machine learning, or related roleStrong programming skills in Python or RProficiency in SQL and working with relational databasesExperience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)Strong understanding of statistics and probabilityExperience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)Familiarity with cloud platforms (AWS, Azure, or GCP)Knowledge of big data tools such as Spark or HadoopUnderstanding of MLOps concepts and model deployment processesStrong analytical thinking and problem-solving skillsExcellent communication skillsAbility to work independently and collaboratively
Description
Job Requirements:Collect, clean, and preprocess structured and unstructured data from multiple sourcesPerform exploratory data analysis (EDA) to identify trends and patternsDevelop, validate, and deploy machine learning and predictive modelsDesign and implement data pipelines and automation workflowsTranslate business problems into analytical solutionsCollaborate with cross-functional teams including engineering, product, operations, and leadershipCommunicate findings through reports, dashboards, and data visualizationsMonitor model performance and continuously improve algorithmsEnsure data integrity, quality, security, and governance compliance