Data Scientist

**About the Role:** We are seeking a highly motivated Data Scientist to join our LS Digital team. The ideal candidate will have hands\-on experience in building ML models, developing end\-to\-end pipelines, and deploying AI/ML solutions. Exposure to Generative AI technologies is a plus. In this role, you will contribute to the design, development, and deployment of AI/ML\-driven products and services leveraging Google Vertex AI and related Google Cloud Machine Learning capabilities. **Key Responsibilities:** • Design, develop, and deploy end\-to\-end machine learning pipelines. • Build predictive and prescriptive models to solve business problems. • Collaborate with cross\-functional teams to implement AI/ML solutions in production. • Optimize and monitor ML models to ensure performance and scalability. • Explore and apply Generative AI technologies to enhance product capabilities. • Translate business requirements into technical solutions leveraging Vertex AI and Google ML tools. • Document methodologies, models, and processes for internal use and knowledge sharing. **Qualifications \& Skills:** • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. • 2 \- 3 years of experience in data science, machine learning, and analytics. • Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, or scikit\-learn). • Experience with building and deploying end\-to\-end ML pipelines. • Exposure to cloud ML platforms, preferably Google Vertex AI. • Strong SQL skills for querying, data manipulation, and working with structured datasets. • Understanding of data engineering concepts, data preprocessing, and feature engineering. • Knowledge of Generative AI models and applications is a plus. • Strong problem\-solving skills, analytical mindset, and attention to detail. • Ability to communicate complex technical concepts to both technical and non\-technical stakeholders. **Why Join Us:** • Work on cutting\-edge AI/ML projects with real business impact. • Exposure to the latest in cloud\-based ML technologies and Generative AI. • Collaborative and innovative work environment.