Marketing Data Scientist
2 weeks ago
The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
Experience: 3-6 years of experience in data science or a related field, specifically in Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
Business Focus: Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
Communication Skills: Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
Educational Background: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
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