
Data Scientist
22 hours ago
Apparel and Footwear
domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
Role Overview: 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. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
Key Responsibilities: 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) Model Utilization:
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. Interpretation & Communication:
Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance. Insights Generation:
Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements. Collaboration:
Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value. Continuous Improvement:
Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
Required Skills & Qualifications: 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) Technical Proficiency:
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. Problem Solving:
Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs. Detail-Oriented:
Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights. Educational Background:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
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