Data Science Lead - Predictive Analytics & Machine Learning
- Leading Client
- 10 - 17 years
- Mumbai
- 20 days ago
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Job Description
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 etcThe 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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: Leading ClientLocation(s): Mumbai
Keyskills: Data Science R Data Scientist Neural Networks Data Visualization Web Analytics Tableau Machine Learning Predictive Analytics Python
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