
Senior Analytics Specialist
2 weeks ago
Be part of a data-driven team as we seek an experienced Data Analyst to contribute to our organization. The ideal candidate will have expertise in SQL, Python, and AWS Sagemaker, with a focus on Unsupervised Learning techniques.
Key Responsibilities:
- Data Analysis: Design, build, validate, and deploy machine learning models using Python and AWS SageMaker to drive next-best-action decisions.
- Business Intelligence: 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.
Requirements:
- 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.
Analytical Mindset: Strong problem-solving skills with the ability to derive insights from ambiguous data.
Communication: Ability to articulate technical concepts to business stakeholders.
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