Data Scientist
2 weeks ago
The ideal candidate should have proven experience in the end-to-end process from design, development, deployment, to product support of data science and analytics projects.
Job Responsibilities:
- Provide actionable analytics and insights to fuel business transformation across different business units, including operations, service delivery, customer management, and sales.
- Utilize a blend of mathematical precision and innovative algorithms to derive business value from data.
- Engage with stakeholders to design and implement data science solutions that align with dynamic business requirements.
- Take the lead on use cases to ensure the achievement of business objectives and delivery of value.
Key Responsibilities:
- Develop, design, and implement models from initial concept to deployment, ensuring continuous support and adaptability to changing business dynamics.
- Offer expert analytics solutions, including machine learning and statistical modeling, to address business challenges and enhance outcomes.
- Collaborate closely with business units to transform business issues into quantitative solutions and effectively communicate across both technical and non-technical audiences.
- Monitor model performance in real-world settings and drive enhancements to maintain enduring business value.
Requirements:
- Possession of a Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or related fields.
- 3-6 years of hands-on experience in deploying models to production and ensuring their adaptability to evolving business needs.
- Proficiency in Python, R, Spark, and big data tools.
- Knowledge of AWS and familiarity with data visualization tools such as Alteryx and PowerBI is an added advantage.
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