Data Scientist - Machine Learning

Job Description

Responsibilities : Data Analysis and Exploration : - Analyze large datasets to identify trends, patterns, and insights. - Perform exploratory data analysis (EDA) to understand data characteristics and relationships. - Develop and implement data preprocessing and cleaning techniques. Machine Learning Model Development : - Design, develop, and evaluate machine learning models for various applications (prediction, classification, clustering). - Select and implement appropriate algorithms and techniques based on project requirements. - Optimize model performance and ensure scalability. Statistical Analysis : - Apply statistical methods to analyze data and draw meaningful conclusions. - Conduct hypothesis testing and statistical modeling. - Develop and interpret statistical reports and visualizations. Data Visualization and Communication : - Create compelling visualizations to communicate data insights to technical and non-technical audiences. - Develop dashboards and reports to monitor key performance indicators (KPIs). - Present findings and recommendations to stakeholders. Collaboration and Communication : - Collaborate with engineers, product managers, and other stakeholders to define project requirements and deliver solutions. - Communicate complex technical concepts clearly and effectively. - Contribute to the development of data science best practices. Model Deployment and Monitoring : - Deploy machine learning models into production environments. - Monitor model performance and retrain models as needed. Qualifications : - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 2-6 years of experience in data science. - Strong proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Experience with SQL and database management. - Solid understanding of machine learning algorithms and statistical methods. - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with cloud platforms (AWS, Azure, GCP) is a plus.