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.