Senior Quantitative Analyst
2 weeks ago
Adelik Business Solutions
Key Responsibilities:
- Collaborate with the project team to develop and implement machine learning models for real-world applications.
- Develop and maintain a high level of proficiency in machine learning techniques and algorithms, such as classification, regression, clustering, feature engineering, decision trees, KNN, and gradient boosting.
- Utilize common data science toolkits such as Python, TensorFlow, SQL, and Scikit-learn to design and implement data-driven solutions.
- Effectively communicate technical concepts to both internal and external stakeholders.
Requirements:
- A graduate degree in a quantitative discipline such as statistics, mathematics, economics, operations research, or computer science.
- 3-5 years of practical experience working as a data scientist, applying machine learning to real-world problems.
- Strong understanding of statistical concepts, including distributions, statistical testing, regression, and regularization.
- Excellent problem-solving and critical thinking skills, with a logical and evidence-based approach.
- Familiarity with SQL and proficiency in using query languages.
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