Data Scientist

Role Overview

As a Data Scientist on the Business Intelligence team, you will leverage analytical techniques to enhance decision-making and deepen insights into market trends, customer behaviors, and overall business performance.

Key Responsibilities

• Create and implement predictive and descriptive analytics models such as forecasting, classification, segmentation, and anomaly detection.
• Handle complete analytical processes including data collection, transformation, modeling, validating results, and communicating findings to stakeholders.
• Partner with business stakeholders to define analytical questions, choose suitable methodologies, and translate data insights into actionable business recommendations.
• Develop scalable data workflows using Databricks and produce visual dashboards and reports utilizing Power BI, Excel, and PowerPoint.
• Maintain high analytical standards through rigorous validation, adherence to best practices, and stay updated on the latest advancements in AI and data science.
• Participate in the formulation of team standards and contribute to agile project delivery and documentation efforts.

Qualifications and Skills

• Bachelor's degree in a quantitative discipline.
• Minimum of three years' experience applying data science techniques in a business environment.
• Strong command of Python, SQL, Microsoft Excel, and PowerPoint.
• Experience with Databricks and Power BI is preferred.
• Familiarity with version control systems.
• Understanding of business intelligence, market analysis, and competitive intelligence domains.
• Excellent communication skills to effectively share insights and deliver practical solutions under dynamic conditions.