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Chief Data Analyst
3 weeks ago
We are seeking a skilled professional with expertise in SQL, Python, and AWS Sagemaker to drive business outcomes.
- Model Development: Create, validate, and deploy machine learning models using Python and AWS SageMaker to inform strategic decisions.
- Commercial Analytics: Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify opportunities for growth.
- Cross-functional Collaboration: Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.
- Cloud Integration: Optimize model deployment on AWS, ensuring scalability, monitoring, and performance tuning.
- Insight Communication: Translate technical outcomes into actionable recommendations for stakeholders through visualizations and presentations.
Qualifications:
- Education: Bachelor's/Master's in Data Science, Computer Science, Statistics, or a related field.
- Experience: 3-4 years in data science, with a focus on commercial/customer analytics.
Key Skills:
- Proficiency in SQL and Python.
- Hands-on experience with AWS SageMaker and cloud services.
- Familiarity with ML frameworks and A/B testing methodologies.
Preferred Qualifications:
- AWS Certified Machine Learning Specialty or similar certifications.
- Experience with big data tools or ML Ops practices.
- Knowledge of NLP, reinforcement learning, or real-time recommendation systems.