Data Scientist and AI Engineer

Role Overview: As a passionate and creative Data Scientist and AI specialist at Synopsys, you will be responsible for transforming data into actionable insights to elevate customer success processes and products. You will collaborate with cross-functional teams to define project requirements, develop and optimize generative AI models, and analyze large datasets to drive improvements in CRM and customer support systems. Your role will involve preparing reports, forecasting data trends, designing and implementing AI models, establishing best practices, and communicating insights effectively to diverse stakeholders. Key Responsibilities: - Prepare and maintain Excel and Power BI reports to analyze usage, productivity, and recognition metrics. - Forecast data trends, generate leads, and identify gaps for focused enhancements in customer success processes. - Design, develop, and implement generative AI models and algorithms in partnership with R&D and cross-functional teams. - Optimize existing GenAI models for improved performance, scalability, and efficiency. - Establish and promote best practices and standards for generative AI development within the organization. - Consolidate and analyze unstructured data sources to generate actionable insights for CRM product enhancement. - Develop, code, and automate processes to cleanse, integrate, and evaluate large datasets from multiple sources. - Interpret and communicate insights to product, service, and business managers for informed decision-making. - Build system-generated reports, dashboards, and reporting tools to support data informatics and business intelligence. - Evaluate agentic support models for ROI and integrate them into CRM systems. - Design, develop, and test web-based prototypes and applications, focusing on user interface and experience. - Maintain high-quality, responsive web pages using HTML, CSS, Java, Node.js, and collaborate with IT and product teams to deliver functional web solutions. Qualifications Required: - Proficiency in data science, AI model development, and advanced analytics. - Experience with CRM platforms (Salesforce), data integration tools (Coveo, SharePoint, Snowflake), and data visualization (Power BI, Tableau, Advanced Excel). - Strong programming skills in Python, HTML, Java, Node.js, and database management (PostgresSQL, MongoDB, MySQL, JSON). - Ability to design and develop web-based prototypes, dashboards, and reporting tools. - Experience in quantitative analysis, business intelligence, and communicating insights to diverse audiences. (Note: The section regarding company details has been omitted as it was not explicitly provided in the job description.),