
Senior Commercial Analytics Professional
14 hours ago
We seek an experienced Senior Commercial Analytics Professional to drive business growth through data-driven insights. As a key member of our team, you will be responsible for developing and implementing predictive models, analyzing customer behavior, and optimizing marketing strategies.
Main Responsibilities:
- Develop and deploy machine learning models using Python and AWS SageMaker to inform next-best-action decisions.
- Analyze customer segmentation, lifetime value (CLV), and campaign performance to identify high-impact opportunities.
- Collaborate with cross-functional teams to align models with business objectives and operational workflows.
- Orient model deployment on AWS for scalability, monitoring, and performance tuning.
- Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.
- Stay updated on advancements in AI/ML, cloud technologies, and commercial analytics trends.
Requirements:
- Bachelor's/Master's degree in Data Science, Computer Science, Statistics, or a related field.
- 3-4 years experience in data science, with a focus on commercial/customer analytics.
Key Skills:
- Proficiency in SQL and Python, including complex queries and Pandas/NumPy/Scikit-learn.
- Hands-on experience with AWS SageMaker and cloud services (S3, Lambda, EC2).
- Familiarity with ML frameworks (XGBoost, TensorFlow/PyTorch) and A/B testing methodologies.
What We Offer:
A dynamic work environment that fosters collaboration, innovation, and professional growth. The opportunity to work with cutting-edge technologies and contribute to business success.
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