
Highly Skilled Data Analyst
2 days ago
About the Role
We're seeking a highly skilled Data Scientist to join our team. The ideal candidate will have a deep understanding of statistical methodologies, mathematical optimization, and machine learning.
This role requires strong analytical skills, a solid foundation in statistical inference and classical machine learning, and experience applying statistical techniques to real-world business problems.
Responsibilities include collaborating with product design and engineering teams, collecting and analyzing datasets, developing and implementing statistical & machine learning models, and communicating findings to stakeholders through clear and effective data visualizations.
- Data Analysis: Collect and process large datasets to extract meaningful insights and drive data-driven decision-making.
- Model Development: Design and implement advanced statistical models to address business challenges and improve operational performance.
- Communication: Effectively communicate complex statistical concepts to non-technical stakeholders and present findings through clear and concise data visualizations.
Requirements:
- Education: Master's or PhD in Statistics, Data Science, Mathematics, or a related STEM field.
- Skills: Deep knowledge of statistical inference, vector calculus, linear algebra, and classical machine learning (especially decision trees, PCA, PLS, and Bayesian statistics).
- Experience: 3+ years of experience in data science or machine learning environments that require the combined application of statistical & technical skills.
- Development Skills: Excellent development skills in Python.
Nice to Have:
- Convex Optimization: Experience with convex optimization algorithms and techniques.
- Kaggle Competitions: Familiarity with Kaggle competitions or similar data science challenges.
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