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Quantitative Insights Developer
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The ideal candidate is passionate about extracting valuable insights from complex data sets and leveraging their strong collaboration skills to drive business improvements.
Key Responsibilities include:
- Analyze raw data: assess quality, cleanse, and structure for downstream processing.
- Design accurate, scalable, and efficient prediction algorithms.
- Collaborate with engineering teams to transition analytical prototypes into production systems.
- Generate actionable insights to drive business improvements and decision-making.
- Develop and maintain dashboards and reports for stakeholders.
Required Qualifications include:
- Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- 3–5 years of professional experience in quantitative analytics, data modeling, or applied machine learning.
- Strong understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms.
- Proficiency in programming languages such as Python, R, SQL (knowledge of C/C++/Java is a plus).
- Hands-on experience with big data frameworks and cloud environments (e.g., Hadoop, Spark, GCP, AWS, or Azure).
- Familiarity with data visualization tools (Tableau, Power BI, or equivalent).
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders.