
Senior Business Intelligence Analyst
4 days ago
We are seeking a highly skilled Data Scientist with expertise in SQL, Python and Machine Learning to contribute to our data-driven initiatives. Your primary responsibility will be to design predictive models, uncover actionable insights and deploy scalable solutions.
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.
- 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 Requirements:
- Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).
- Hands-on experience with AWS SageMaker (model training, deployment) and cloud services (S3, Lambda, EC2).
- Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.
Analytical Mindset and Communication Skills:
- Strong problem-solving skills with the ability to derive insights from ambiguous data.
- Ability to articulate technical concepts to business stakeholders.
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