Marketing Data Scientist

2 weeks ago

Bengaluru, Karnataka, India Valiance Solutions Full time
At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to 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.

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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