Responsibilities The incumbent will lead a team of data scientists and campaign managers. S/He will work closely with cross functional teams like Subscriber Marketing, Content, Product, IT, Tech, and Customer Operations to identify & solve key business problems. Key responsibilities for this position are listed below: Leverage Gen AI for Transformational initiatives at across various offerings - DTH, mobile app. Building and improving Recommendation Engines, Propensity Modelling, Unsupervised Learning, Fraud Detection, Patterns & Visualisations Improving the Quality, Performance and Effectiveness of the campaigns Working on various statistical and data science models to test and evaluate them Evaluating models and predict performance of data science models using ROC curve and Lift Analysis Providing expertise to the organisation on statistical techniques Building deep learning based complex systems utilising structured and unstructured data Setting up and manage a team of data scientists and campaign managers Collaborating with data engineering team on building data marts, reports, data warehouse, data pipelines and data tracking mechanisms Micro segment the base for better upsell of content. Leverage AMS (Audience Measurement system). Integrate data science models into various campaigns Manage various segmented upselling and retention campaigns which will be administered through various modes of communication e.g. outbound, TV channels, SMS, emails, App Notifications, website etc The Person 10+ years in the Data Science and Analytics domain Expertise in Predictive Analytics & Machine Learning concepts like such as regression, classification, SVM, recommendation engines, neural network etc. Hands On experience to open source analytical tools - such as R, Python Hands On experience of data visualization tools like Tableau Experience of working on web analytics using tools like Mix Panel for analytics and experimentation Exposure to implementing data science solutions in production environments Exposure to Gen AI technology for solving business problems like NLU Search, CVM, Metadata enrichment etc. Understanding of analytical architecture components; query languages, web services, APIs etc Experience working on cloud and it's components: AWS / Azure / Google Cloud Platform (any one) Experience working on Big Data technologies like Spark, PySpark, SparkR etc Proven experience in Model to Market Good understanding of commercial (revenue and retention) aspects of the business. Experience of leading and driving multiple complex projects with a sharp customer-focus Sound problem identification, judgment, resolution and decision-making skills Innovation oriented and a proponent of disruptive and out-of-the-box thinking High level of integrity, ownership and accountability Excellent written and verbal communications; ability to articulate thoughts clearly and concisely; excellent interpersonal skills. (ref:hirist.tech),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Data Science Lead - Predictive Analytics &
Contact Details:
Company: Xcelyst Limited Location(s): All India Email: hi*********l@