Key Responsibilities:
- Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies.
- 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.
- 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: Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field
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