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6 days ago
We are seeking a skilled professional to excel in extracting valuable insights from complex data sets and leveraging strong collaboration skills to ask the right questions and find answers.
Key Responsibilities:- Assess raw data 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
A strong understanding of predictive modeling, machine learning, clustering, classification techniques, and algorithms is essential. Proficiency in programming languages such as Python, R, SQL, and hands-on experience with big data frameworks and cloud environments are also required.
Qualifications:- 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 problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders
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