Intern - Data Scientist

As a Data Science Intern at Affle, you will have the opportunity to work on high-impact projects in the digital advertising ecosystem. You will collaborate with senior data scientists and engineers to develop machine learning models and solve real-world business problems. Here is a breakdown of your role and responsibilities: Role Overview: You will be assisting in developing, validating, and deploying machine learning models for business use cases such as CTR prediction, campaign optimization, and audience profiling. Additionally, you will be involved in exploratory data analysis, feature engineering, and model evaluation using Python, SQL, and Spark. Your work will contribute to automating data pipelines, integrating models into production systems, and documenting methodologies for internal use. Key Responsibilities: - Develop, validate, and deploy machine learning models for business use cases - Perform exploratory data analysis to extract insights from large-scale datasets - Support feature engineering and data cleaning using Python, SQL, and Spark - Evaluate model performance using appropriate metrics - Automate data pipelines and contribute to model monitoring & reporting dashboards - Collaborate with cross-functional teams to integrate models into production systems - Drive innovation by experimenting with frontier ML techniques - Identify opportunities for automation and optimization using ML across the ad delivery ecosystem Qualifications Required: - Strong understanding of statistical concepts and proficiency in Python libraries - Familiarity with ML & DL algorithms and working knowledge of SQL - Understanding of data preprocessing, feature engineering, and model evaluation - Bonus: Knowledge of Adtech Industry, NLP, Gen AI concepts - Excellent problem-solving ability and strong business intuition - Ability to translate unsolved business problems into ML solutions - Ownership mindset with experience taking projects from design to production In addition to the exciting projects and learning opportunities, Affle offers a culture that encourages experimentation and innovation. As an intern, you will receive mentorship from experienced data scientists and have the potential for full-time employment based on your performance. About Affle: Affle is a global technology company focused on delivering consumer recommendations and conversions through Mobile Advertising. The company's platform aims to enhance marketing returns and reduce digital ad fraud. Affle powers consumer journeys for marketers through its Affle2.0 Consumer Platforms Stack. Affle Holdings has prominent investors like Microsoft and Bennett Coleman & Company (BCCL). For more details, please visit the Affle website. As a Data Science Intern at Affle, you will have the opportunity to work on high-impact projects in the digital advertising ecosystem. You will collaborate with senior data scientists and engineers to develop machine learning models and solve real-world business problems. Here is a breakdown of your role and responsibilities: Role Overview: You will be assisting in developing, validating, and deploying machine learning models for business use cases such as CTR prediction, campaign optimization, and audience profiling. Additionally, you will be involved in exploratory data analysis, feature engineering, and model evaluation using Python, SQL, and Spark. Your work will contribute to automating data pipelines, integrating models into production systems, and documenting methodologies for internal use. Key Responsibilities: - Develop, validate, and deploy machine learning models for business use cases - Perform exploratory data analysis to extract insights from large-scale datasets - Support feature engineering and data cleaning using Python, SQL, and Spark - Evaluate model performance using appropriate metrics - Automate data pipelines and contribute to model monitoring & reporting dashboards - Collaborate with cross-functional teams to integrate models into production systems - Drive innovation by experimenting with frontier ML techniques - Identify opportunities for automation and optimization using ML across the ad delivery ecosystem Qualifications Required: - Strong understanding of statistical concepts and proficiency in Python libraries - Familiarity with ML & DL algorithms and working knowledge of SQL - Understanding of data preprocessing, feature engineering, and model evaluation - Bonus: Knowledge of Adtech Industry, NLP, Gen AI concepts - Excellent problem-solving ability and strong business intuition - Ability to translate unsolved business problems into ML solutions - Ownership mindset with experience taking projects from design to production In addition to the exciting projects and learning opportunities, Affle offers a culture that encourages experimentation and innovation. As an intern, you will receive mentorship from experienced data scientists and have the potential for full-time employment based on your