Senior Data Scientist - Python, Machine Learning

- Minimum of 5 years of experience as a Data Scientist with a focus on retail, especially in areas like customer segmentation, performance forecasting, and business optimization. - Strong business acumen with the capability to convert complex analytical insights into actionable strategies. - Extensive experience in developing and refining retail strategies through advanced analytics in both physical and online environments. - Proficient in creating intuitive dashboards using tools like Tableau for self-service insights and monitoring key metrics. - In-depth knowledge of predictive modeling techniques including regression, time series forecasting, and machine learning methods. - Skilled in designing and analyzing experiments such as A/B testing and other causal frameworks. - Expert-level abilities in Python to build scalable pricing and forecasting models using relevant libraries. - Advanced SQL skills for querying large retail and transactional datasets, including experience with automated data pipelines. - Familiar with big data and cloud technologies, particularly Google Cloud Platform, Snowflake, and BigQuery. - Bachelors degree in Mathematics, Economics, Data Science, Computer Science, Operations Research, or a related field, or equivalent work experience. - Preferred: Masters or PhD in a relevant field.