Data Scientist – Test and Learn, Time Series Analysis

About the job

Title: Data Scientist – Test and Learn, Time Series Analysis Location: 100% Remote 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 skill. 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

• Python
• Time Series Analysis
• Machine Learning

Qualifications

• Bachelor’s degree in a quantitative field
• Master’s degree in a quantitative field

Preferred Technologies

• Python
• Time Series Analysis
• Machine Learning

About the company

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