
Lead Quantitative Analyst
3 days ago
Unlock the Power of Data Science to Drive Business Growth
About the RoleAs a Data Scientist, you will thrive in a fast-paced environment where learning and agility are key. With strong collaboration skills, you will excel at extracting valuable insights from complex data sets to inform strategic decisions.
Key Responsibilities- Assess and cleanse raw data for downstream processing, ensuring its quality and integrity.
- Design and implement accurate, scalable, and efficient prediction algorithms that drive business outcomes.
- Collaborate with engineering teams to transition analytical prototypes into production-ready systems.
- Develop actionable insights to drive business improvements and inform decision-making.
- Maintain dashboards and reports for stakeholders to ensure timely and effective communication.
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering.
- 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 like Python, R, SQL, and knowledge of C/C++/Java is a plus.
- Hands-on experience with big data frameworks and cloud environments such as Hadoop, Spark, GCP, AWS, or Azure.
- Familiarity with data visualization tools like Tableau, Power BI, or equivalent.
- Strong problem-solving mindset and ability to communicate complex concepts to non-technical stakeholders.
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