
Senior Business Intelligence Developer
9 hours ago
Data Scientist
About the Role:We are seeking a skilled Data Scientist with expertise in SQL, Python, and AWS SageMaker to contribute to our team. You will design predictive models, uncover actionable insights, and deploy scalable solutions to recommend optimal customer interactions.
- Main 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.
- 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 (e.g., e-commerce, B2B sectors).
- Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).
- Hands-on experience with AWS SageMaker (model training, deployment) and cloud services.
- Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) 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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