
Career Opportunities in Commercial Analytics
15 hours ago
We are seeking a skilled professional to contribute to our team as a Data Scientist.
This role is ideal for an individual who can effectively analyze customer data and drive strategic business decisions.
Key Responsibilities:- Model Development: Design, build, validate, and deploy machine learning models using Python and AWS SageMaker to drive informed decision-making.
- 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 commercial analytics objectives with 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 commercial analytics, with a focus on customer insights.
- Proficiency in SQL and Python, including Pandas, NumPy, and Scikit-learn.
- Hands-on experience with AWS SageMaker, S3, Lambda, and EC2.
- Familiarity with ML frameworks and A/B testing methodologies.
A strong analytical mindset, problem-solving skills, and ability to derive insights from complex data are essential. Effective communication of technical concepts to business stakeholders is also required.
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