Data Analyst-Predictive Modeling

Role Overview: You will be part of a team developing predictive models for various business problems. Your responsibilities will include data cleaning, feature engineering, model building, and model evaluation. Key Responsibilities: - Collect, clean, and preprocess data from various sources. - Develop predictive models using statistical modeling and machine learning techniques. - Evaluate model performance and identify areas for improvement. - Communicate findings and recommendations to stakeholders. - Collaborate with other data scientists and engineers. - Stay up-to-date on the latest advances in data science. Qualification Required: - Bachelor's degree in statistics, mathematics, or a related field. - 1-2 years of experience in data analysis or a related field. - Proficiency in SQL and Python. - Experience with statistical modeling and machine learning techniques. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills. Additional Company Details: A typical day involves working with large datasets, cleaning and preprocessing data, building and testing models, and communicating results. You will collaborate with your team to solve various business problems. The company offers a competitive salary and benefits package, opportunities for professional development and growth, a collaborative and supportive work environment, health insurance, and paid time off. Role Overview: You will be part of a team developing predictive models for various business problems. Your responsibilities will include data cleaning, feature engineering, model building, and model evaluation. Key Responsibilities: - Collect, clean, and preprocess data from various sources. - Develop predictive models using statistical modeling and machine learning techniques. - Evaluate model performance and identify areas for improvement. - Communicate findings and recommendations to stakeholders. - Collaborate with other data scientists and engineers. - Stay up-to-date on the latest advances in data science. Qualification Required: - Bachelor's degree in statistics, mathematics, or a related field. - 1-2 years of experience in data analysis or a related field. - Proficiency in SQL and Python. - Experience with statistical modeling and machine learning techniques. - Strong analytical and problem-solving skills. - Excellent communication and presentation skills. Additional Company Details: A typical day involves working with large datasets, cleaning and preprocessing data, building and testing models, and communicating results. You will collaborate with your team to solve various business problems. The company offers a competitive salary and benefits package, opportunities for professional development and growth, a collaborative and supportive work environment, health insurance, and paid time off.