
Data Science Professional
2 days ago
Unlock strategic value from data with our team. As a skilled professional, you'll leverage expertise in SQL, Python, and cloud services to develop predictive models that drive customer interactions.
Key Responsibilities:- Create, validate, and deploy machine learning models using Python and cloud platforms to inform next-best-action decisions.
- Analyze customer segmentation, lifetime value, and campaign performance to identify high-impact opportunities.
- Partner with marketing, sales, and product teams to align models with business objectives and operational workflows.
- Optimize model deployment on the cloud, ensuring scalability, monitoring, and performance tuning.
- Translate technical outcomes into actionable recommendations for non-technical stakeholders through visualizations and presentations.
- 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.
- Proficiency in SQL (complex queries, optimization) and Python (Pandas, NumPy, Scikit-learn).
- Hands-on experience with cloud services (S3, Lambda, EC2) and machine learning frameworks.
- Familiarity with A/B testing methodologies.
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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