Marketing Analytics SME / Sr Data Scientist

Role Overview: You will be responsible for using your expertise in Data Science, Python, NLP, and Machine Learning to deploy models effectively. Your main focus will be on Marketing Analytics, including Campaign Analysis, Segmentation, and tracking ROI. You should be skilled in Predictive Modeling, Data Wrangling, and model building. Additionally, you will need to collaborate with junior Data Scientists, peers, and provide guidance when necessary. Your ability to manage clients, present work to both technical and non-technical users, and collaborate with cross-functional teams will be essential. Proficiency in data visualization tools like Power BI or Tableau is crucial, and experience in the Insurance domain would be beneficial. Key Responsibilities: - Hands-on experience in Data Science, Python, NLP, and Machine Learning - Exposure to Marketing Analytics, including Campaign Analysis, Segmentation, and tracking ROI - Proficient in Predictive Modeling, Data Wrangling, and model building - Ability to work with junior Data Scientists, peers, and provide guidance - Client Management skills to present work to non-tech and tech users - Collaboration with various teams like DE, BI, and Data teams - Good understanding of data visualization tools like Power BI or Tableau - Optional: Experience in the Insurance domain Qualifications Required: - Strong skills in Data Science, Data Wrangling, and Analytics - Proficiency in using tools like Power BI or Tableau Please note that the above job description emphasizes the importance of Marketing experience, technical skills in Data Science, and the ability to collaborate effectively with different teams and clients. Role Overview: You will be responsible for using your expertise in Data Science, Python, NLP, and Machine Learning to deploy models effectively. Your main focus will be on Marketing Analytics, including Campaign Analysis, Segmentation, and tracking ROI. You should be skilled in Predictive Modeling, Data Wrangling, and model building. Additionally, you will need to collaborate with junior Data Scientists, peers, and provide guidance when necessary. Your ability to manage clients, present work to both technical and non-technical users, and collaborate with cross-functional teams will be essential. Proficiency in data visualization tools like Power BI or Tableau is crucial, and experience in the Insurance domain would be beneficial. Key Responsibilities: - Hands-on experience in Data Science, Python, NLP, and Machine Learning - Exposure to Marketing Analytics, including Campaign Analysis, Segmentation, and tracking ROI - Proficient in Predictive Modeling, Data Wrangling, and model building - Ability to work with junior Data Scientists, peers, and provide guidance - Client Management skills to present work to non-tech and tech users - Collaboration with various teams like DE, BI, and Data teams - Good understanding of data visualization tools like Power BI or Tableau - Optional: Experience in the Insurance domain Qualifications Required: - Strong skills in Data Science, Data Wrangling, and Analytics - Proficiency in using tools like Power BI or Tableau Please note that the above job description emphasizes the importance of Marketing experience, technical skills in Data Science, and the ability to collaborate effectively with different teams and clients.