Position Responsibilities:

• Deliver actionable analytics and insights to drive business transformation across operations, service delivery, customer management, and sales.

• Combine mathematical rigor with innovative algorithms to extract business value from data.

• Collaborate with stakeholders to develop and implement data science solutions that meet evolving business needs.

• Lead use cases to ensure business objectives are met and value is delivered.

Key Responsibilities:

1. Model Development and Deployment:

Design, develop, and deploy models from MVP to production, ensuring continuous support and adaptation to changing business needs.

2. Advanced Analytics and Machine Learning:

Provide expert analytics, including machine learning and statistical modeling, to solve business problems and optimize outcomes.

3. Stakeholder Collaboration:

Partner with business teams to translate business challenges into quantitative solutions and communicate effectively across technical and non-technical audiences.

4. Performance Monitoring and Improvement:

Monitor model performance in production and initiate improvements to ensure sustained business value.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or related fields.

• 3-6 years of experience deploying models to production and maintaining them to meet changing business needs.

• Strong skills in Python, R, Spark, and big data tools.

• Experience with AWS and data visualization tools (e.g., Alteryx, PowerBI) is a plus.

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