Data Scientist, eCommerce Analytics
Tasks
- Apply machine learning and statistical modeling to customer behavior
- Build recommendation and personalization solutions
- Communicate findings to technical and non-technical audiences
- Conduct causal inference analysis
- Develop and deploy data driven solutions for digital experiences
- Own analytics and data science projects end to end
- Partner with Product, Engineering, and Business stakeholders
- Translate business problems into scalable analytical solutions
Perks/Benefits
- 401k
- Adoption benefits
- Career development
- Disability benefits
- Employee assistance program
- Employee discounts
- Flexible spending accounts
- Health Lifestyle Programs
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Voluntary benefits and employee discounts
Skills/Tech-stack
AWS | Azure | Causal Inference | Cloud Computing | Clustering | Collaborative Filtering | Data Analysis | Data Mining | Data cleaning | Exploratory Data Analysis | Generative AI | Google Cloud | Hypothesis Testing | Language Processing | Machine Learning | Natural Language | Natural Language Processing | Python | R | Recommendation Systems | Regression | SQL | Snowflake | Statistical modeling
Education
Roles
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