Data Scientist

About the job

Data Scientist – Test and Learn, Time Series Analysis Objective Seeking a highly analytical Data Scientist to support revenue growth strategies by leveraging time series modeling, machine learning, and optimization techniques. Use test and learn methodologies in python Key Responsibilities : - Develop advanced analytics models, including price / promotion optimization, segmentation, and demand modeling. - Collaborate with cross-functional teams to ensure revenue growth strategies align with business goals and market conditions. - Monitor key business KPIs and regularly present findings, insights, and recommendations to senior leadership to drive strategic decision-making. - Work closely with data engineering and IT teams to ensure the scalability and robustness of models and tools. Qualifications : - Bachelor’s or Master’s degree in a quantitative field such as Economics, Statistics, Data Science, Mathematics, or a related field - 4+ years of experience in pricing, data science, or related fields - Strong expertise in statistical modeling and machine learning - Proficiency in programming languages such as Python and SQL and experience with data visualization tools - Understanding of price optimization techniques, demand modeling, and forecasting. - Excellent communications, organizational and time management skills.

Requirements

• Python
• Statistical modeling
• Machine learning
• Data visualization
• Time Series analysis

Qualifications

• Bachelor’s degree
• Master’s degree

Preferred Technologies

• Python
• Statistical modeling
• Machine learning
• Data visualization
• Time Series analysis

About the company

Cube Hub Inc. specializes in data science, providing analytics-driven solutions to enhance revenue growth strategies. They focus on applying advanced analytics techniques to drive strategic decision-making.