Senior Data Scientist-Client Analytics

Job Title: Senior Data Scientist-Client Analytics Company: Zorba AI Job Category: Data Science Roles & Responsibilities: The candidate will work with the PeopleCloud Customer team, supporting a cloud\-based Customer Data Platform (CDP) and Marketing Automated Operating System (MAOS). The role involves collaborating with global teams, working directly with clients, and delivering end\-to\-end data science solutions using advanced analytics and cloud technologies. Key Responsibilities * Analyze large volumes of customer, transaction, web analytics, and second\- and third\-party data to identify meaningful business insights. * Perform data extraction, preprocessing, cleansing, transformation, statistical analysis, and feature engineering. * Design, develop, and implement scalable Machine Learning and Deep Learning models using Python, PySpark, Spark MLlib, TensorFlow, and Keras. * Build and optimize end\-to\-end machine learning pipelines using Azure Databricks and Azure Data Factory (ADF). * Develop customer and marketing analytics models, including: + Customer Churn Prediction + Customer Lifetime Value (CLV) + Propensity Modeling + Customer Affinity Modeling + Customer Segmentation * Apply predictive analytics techniques such as classification, regression, clustering, and multivariate testing. * Work with large\-scale distributed databases and big data processing frameworks. * Collaborate with business stakeholders, product teams, developers, QA, and delivery managers to understand business requirements. * Own end\-to\-end implementation of data science solutions, from problem identification and data exploration to model development and delivery. * Work directly with clients to translate business challenges into actionable analytical solutions. * Support enhancements to the COSMOS Cognitive Marketing Intelligence Cloud Platform. * Follow development best practices using Git, Jenkins, and CI/CD processes. * Mentor team members and contribute to data science best practices. Development Tools * Git and Jenkins. * Understanding of continuous integration and version control practices. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Summary We are seeking an experienced Senior Data Scientist – Client Analytics with strong expertise in Machine Learning, Deep Learning, Python, PySpark, SQL, and Azure Databricks. Required Technical Skills Programming \& Data Processing * Strong hands\-on experience with Python, SQL, and PySpark. * Experience working with large\-scale datasets and distributed computing. Machine Learning \& Deep Learning * Strong knowledge of machine learning algorithms and predictive modeling. * Experience with Spark MLlib, TensorFlow, Keras, and Deep Neural Networks. * Hands\-on experience with classification, regression, clustering, statistical modeling, and data mining. Cloud \& Big Data * Experience with Azure Databricks and Azure Data Factory. * Understanding of Microsoft Azure cloud infrastructure. * Familiarity with AWS is an advantage. * Experience designing scalable ML pipelines using big data principles. Qualifications * 5–9 years of overall experience in Data Science, Machine Learning, or Advanced Analytics. * Strong practical experience developing and implementing ML models. * Experience delivering end\-to\-end predictive analytics solutions. * Strong analytical and problem\-solving skills. * Excellent communication, stakeholder management, and client\-facing skills. * Ability to work independently and collaborate with distributed onshore and offshore teams. * Master's degree in Computer Science, Mathematics, Physics, or equivalent education/professional experience. Key Skills: Data Science Salary: INR 1.5e+06 - 2e+06 per yearly