Data Scientist

Responsibilites Utilize data science techniques to extract insights into product features user behavior and business metrics. Develop and refine AI models for demand forecasting using a mix of statistical machine learning and deep learning methods. Build foundational time series forecasting models with transformer architectures to enhance prediction accuracy. Design algorithms to process large diverse datasets maintaining high data integrity and usability. Collaborate with data engineers to build scalable data pipelines tailored for different modeling needs. Foster a data-driven culture by building networks that support proactive decision-making across the organization. Synthesize findings to influence product strategy and business decisions presenting clear actionable insights. Engage in collaborative projects to refine data models and address complex business challenges such as customer segmentation and pricing strategies. Deploy scalable systems on platforms like Snowflake Databricks and AWS and stay updated on industry advancements to incorporate into projects.Key Skills Programming. Statistics and probability. Data wrangling and database management. Machine learning and deep learning. Data visualization. Cloud computing. Interpersonal skills.