Key skills
PythonSQLTableauRAIMachine LearningMLAnalyticsBIPower BISalesforceCRMStakeholder ManagementA/B TestingCommunication
About this role
Role Overview
- Develop and optimize machine learning models for recommendations and personalization
- Build merchandising and product ranking models for eCommerce platforms
- Design customer segmentation and scoring models within CRM systems
- Translate business problems into analytical frameworks and solutions
- Perform deep-dive analysis and create impactful data visualizations
- Define and validate AI use cases with business stakeholders
- Evaluate model performance using statistical and business metrics
- Design and run A/B tests and experimentation frameworks
- Monitor model performance and recommend optimizations
- Collaborate with engineering teams to deploy and scale models
- Work with marketing, eCommerce, and CRM teams to embed models into workflows
- Communicate insights clearly to technical and non-technical stakeholders
Requirements
- 3 to 6 years of experience in data science or advanced analytics
- Strong expertise in statistical modeling and machine learning
- Experience building recommendation, personalization, or segmentation models
- Proficiency in SQL, Python, or R for data analysis
- Experience with platforms like Bloomreach, Salesforce, or similar
- Hands-on experience with A/B testing and hypothesis testing
- Familiarity with AI/ML lifecycle, validation, and monitoring
- Experience with data visualization tools like Tableau or Power BI
- Strong problem-solving and business understanding skills
- Excellent communication and stakeholder management skills
Tech Stack
- Python
- SQL
- Tableau