Associate Data Scientist

Role Overview: You will be responsible for applying data mining techniques, cleaning data, incorporating AI and predictive models, and visualizing data to solve problems and innovate new ways of working for the global business. Effective communication skills, organization, innovative thinking, and a will to learn current business processes and new data science techniques are essential. Key Responsibilities: - Translate data & analytics into business insights by working with global leaders and regional functional teams (10%) - Identify, process, cleanse, and verify the integrity of data used for analysis (15%) - Improve and operationalize data collection processes by incorporating relevant features for analytical use cases, while implementing automation and structured logging to ensure data quality, traceability, and reliability (20%) - Build and Design workflows with advanced algorithms and models such as ML, Time Series, ML Ops etc. to conform to business needs (40%) - Build and train models using machine learning, Time Series and Forecasting techniques (15%) Qualification Required: - Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field - Advanced analytical skillset - Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets - Demonstrated ability coding in one or more languages (Python preferred) - Experience with data visualization software (Power BI preferred) - Experience training evaluating and applying statistical models and AI/ML algorithms Additional Details: Fluent English is required. Preferred qualifications include a Master's Degree in a related field, experience with Cloud-based tools (Azure preferred), technical knowledge for Data environments, transformation, and ML Ops, ability to connect complex data/analytics with business applications, experience with Forecasting use cases, technical knowledge for ML deployments and monitoring, and experience with an ERP system - SAP preferred. Role Overview: You will be responsible for applying data mining techniques, cleaning data, incorporating AI and predictive models, and visualizing data to solve problems and innovate new ways of working for the global business. Effective communication skills, organization, innovative thinking, and a will to learn current business processes and new data science techniques are essential. Key Responsibilities: - Translate data & analytics into business insights by working with global leaders and regional functional teams (10%) - Identify, process, cleanse, and verify the integrity of data used for analysis (15%) - Improve and operationalize data collection processes by incorporating relevant features for analytical use cases, while implementing automation and structured logging to ensure data quality, traceability, and reliability (20%) - Build and Design workflows with advanced algorithms and models such as ML, Time Series, ML Ops etc. to conform to business needs (40%) - Build and train models using machine learning, Time Series and Forecasting techniques (15%) Qualification Required: - Bachelor's degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field - Advanced analytical skillset - Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets - Demonstrated ability coding in one or more languages (Python preferred) - Experience with data visualization software (Power BI preferred) - Experience training evaluating and applying statistical models and AI/ML algorithms Additional Details: Fluent English is required. Preferred qualifications include a Master's Degree in a related field, experience with Cloud-based tools (Azure preferred), technical knowledge for Data environments, transformation, and ML Ops, ability to connect complex data/analytics with business applications, experience with Forecasting use cases, technical knowledge for ML deployments and monitoring, and experience with an ERP system - SAP preferred.