Job Description
Responsibilities: - Develop data models and algorithms that tackle real-world business problems like customer segmentation, channel attribution, marketing performance and yield optimization - Work in a multi-functional team to develop new ideas, test them and measure success - Translate data and insights into concise and actionable recommendations
Requirements
Requirements: - Experience with programming / query languages, including Python, PySpark, R, Hive, SQL, etc., to process data and gain insights from it - Experience in Machine Learning techniques, for example classification techniques, regression, clustering, NLP techniques, neural networks, etc. - Experience/knowledge in distributed data and computing tools, for example MapReduce, MySQL, Hadoop, Spark, Kafka etc. - Experience in designing and implementing ETL pipelines - Experience in translating data to insights and actions - Experience in designing dashboards with tableau - Experience in using Machine Learning for real-world applications - Good communication skills to promote cross-team collaboration
Employment Type
- Full Time
Job Category
Seniority
Details
Employment type
- Full Time
Job Category
Educations
Seniority
