Valiance Solutions - Senior Data Scientist - Python

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 forecasting data for retail, fashion, and CPG sectors.

- 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 : 5-7 years of experience in data science or a related field, specifically in demand forecasting for retail, fashion, or CPG industries.

- Technical Proficiency :

a. Strong skills in data analysis, data visualization, and working with pre-trained ML models.

b. 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