Data Scientist

About the Role: We are looking for an experienced Data Scientist with 5+ years of hands-on experience in Dataiku, Python, SQL, and AWS. The ideal candidate will be responsible for developing data-driven solutions, building analytical and machine learning models, and leveraging Dataiku and AWS to solve complex business problems. Key Responsibilities: - Develop, implement, and deploy data science and machine learning solutions using Dataiku and Python. - Perform data exploration, cleaning, transformation, and feature engineering using large and diverse datasets. - Build, train, validate, and optimize statistical and machine learning models. - Use Dataiku for data preparation, analytics, model development, deployment, and monitoring. - Write complex SQL queries for data extraction, analysis, and transformation. - Leverage AWS cloud services to develop and deploy scalable data science solutions. - Analyze business requirements and translate them into data-driven solutions. - Evaluate model performance and continuously improve model accuracy and reliability. - Collaborate with Data Engineers, Business Analysts, Product Managers, and other stakeholders. - Create dashboards, reports, and visualizations to communicate insights effectively. - Ensure data quality, model governance, and adherence to security and compliance standards. - Document methodologies, models, experiments, and analytical findings. - Stay updated with emerging technologies and best practices in data science, machine learning, and cloud analytics. Required Skills: - 5+ years of professional experience in Data Science / Machine Learning. - Strong hands-on experience with Dataiku. - Strong programming skills in Python. - Advanced knowledge of SQL and relational databases. - Hands-on experience with AWS cloud services. - Strong understanding of statistics, machine learning algorithms, and predictive modeling. - Experience with data preprocessing, feature engineering, model validation, and optimization. - Ability to work with large datasets and solve complex analytical problems. - Strong analytical, problem-solving, and communication skills. - Ability to work effectively in a hybrid work environment and collaborate with distributed teams.