
Chief Data Analyst
1 day ago
We are seeking a highly skilled Data Scientist to join our organization and help us drive strategic decisions. As a key member of our team, you will be responsible for forecasting future trends, optimizing operations, and providing actionable insights.
Job Responsibilities:
- Predictive Modeling and Forecasting: Develop and implement advanced machine learning models to forecast sales, profitability, and inventory needs for short-term and long-term periods.
- Data Analysis: Analyze internal data from various sources and external data on global economic trends, market conditions, and consumer behavior.
- Trend Analysis: Identify and interpret key trends in sales, seasonality, and customer preferences.
- Algorithm Development: Create and refine algorithms to optimize pricing strategies, inventory management, and marketing campaigns.
- Dashboard Creation: Develop and maintain custom dashboards using tools like Power BI or Tableau to visualize predictive models and key metrics.
- Reporting: Generate comprehensive reports and present findings to stakeholders to inform strategic decision-making.
- Risk Analysis: Assess potential risks to production and supply chain, such as fabric shortages, natural disasters, and other disruptions, and incorporate these factors into forecasting models.
- Collaboration: Work closely with cross-functional teams including marketing, sales, and operations to provide data-driven insights and recommendations.
- Process Improvement: Continuously seek opportunities to improve data collection processes, analytical methods, and forecasting accuracy.
Requirements:
- Educational Background: Master's or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: Minimum of 5 years of experience as a Data Scientist, preferably in an e-commerce company.
- Technical Skills: Proficiency in data analysis and machine learning tools like Python, R, SQL, and frameworks like TensorFlow or PyTorch.
- Analytical Skills: Exceptional analytical and problem-solving skills with the ability to interpret complex data sets.
- Communication Skills: Excellent written and verbal communication skills with the ability to present data findings clearly.
Benefits:
- 10 Vacation Leave
- 4 Mandatory Paid Holidays
- 6 Sick Leave/Emergency Leave
- 2 Flex Holidays
- $100 Software/Hardware Subsidy annually
- $450 Health Benefit Subsidy
Total of 22 Paid Days Off Per Year
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