
Data Analyst
19 hours ago
We are seeking a skilled Data Scientist to contribute to our team. This role is ideal for a problem-solver passionate about turning data into strategic value.
Key Responsibilities
- Model Development: Build, validate and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions.
- Commercial Analytics: Analyze customer segmentation, lifetime value (CLV) and campaign performance to identify high-impact opportunities.
- 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 non-technical stakeholders through visualizations and presentations.
- Continuous Improvement: Stay updated on advancements in AI/ML, cloud technologies and commercial analytics trends.
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.
Technical Skills:
- Proficiency in SQL and Python.
- Hands-on experience with AWS SageMaker and cloud services.
- Familiarity with ML frameworks and A/B testing methodologies.
A strong analytical mindset and the ability to derive insights from ambiguous data are essential for success in this role.
The ideal candidate will have excellent communication skills and be able to articulate technical concepts to business stakeholders effectively.
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