Data Scientist with Pricing and Retail Experience

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 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