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. Things we are looking for : • Strong track record of test and learn in Python • Great communication as this role is client facing for some markets • Some Bayes experience • Time Series experience is a must for all the studies where we don’t have control groups • Great visualization skills and deck creation chops : Must be able to tell a data story with PowerPoint • Python Dashboarding skills would be nice to have • Tableau or PowerBI dashboarding would be nice to have as well • Should be able to run an entire study, analyze and interpret the results, produce the deck and communicate it to the market without any handholding

Requirements

• Statistical modeling
• Machine learning
• Data visualization tools
• Python
• SQL

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

Preferred Technologies

• Statistical modeling
• Machine learning
• Data visualization tools
• Python
• SQL

About the company

Cube Hub Inc. focuses on using data-driven solutions to optimize business outcomes. The company aims to utilize advanced analytics to support revenue growth strategies through machine learning and modeling.