Data Scientist
Data Scientist
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3years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
- Conduct product assortment analysis identify trends and patterns in category performance and support new product launches.
- Utilize data and visualization techniques to provide actionable insights for store teams territory and district managers.
- Design and test campaign effectiveness analyze crosssell and upsell opportunities and perform Market Basket Analysis.
- Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
- Translate complex data insights into understandable and actionable information for nontechnical and business teams.
Requirements
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of data analysis statistics and machine learning.
- Proficiency in data science tools and programming languages such as PythonSQL etc.
- Familiarity with:
- Supervised and unsupervised learning techniques
- Deep learning and reinforcement learning
- Evaluation metrics feature engineering model selection and validation ensemble methods and explainable AI
- Customer AnalyticsMarketing and Promotion AnalyticsCategory/Product Analytics
- Good to have experience in visualization tools such as Power BI Spot fireAzure Databricks or similar.
- Excellent storytelling skills to explain complex data to nontechnical/business teams
- Experience in analytics preferably within Retail CPG or Ecommerce domains.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Benefits
- Competitive salary and performancebased bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Analysis of both high-level and granular (category and/or product specific) business trends Experience in data processing, data analysis, and automation. Strong proficiency in Excel/Sheets, SQL, and data visualization tools. Experience in Python or R language. Exposure to using Hive or Presto for data processing. Ability to analyze complex datasets and provide actionable insights. Strong communication skills and experience in documenting and presenting data findings.
Employment Type
Full Time
