Sr Data Scientist
3 weeks ago
Responsibilities
- Model Selection and Optimization: involved in selecting advanced models, optimizing hyperparameters, and improving model performance.
- Leadership: lead projects, guide junior team members, and provide strategic input on data science initiatives.
- Decision-Making: making decisions on the overall data science strategy and direction for the organization.
- Complex Problem Solving: tackling more complex and nuanced business problems using advanced analytical techniques.
- Collaboration and Communication: interacting with cross-functional teams and stakeholders to understand business goals and translate them into data science solutions.
Requirements
- Education: master's or Ph.D. in a quantitative field with several years of relevant work experience.
- Experience: proven track record of successful data science projects and a deep understanding of various machine learning algorithms.
- Advanced skills: proficiency in advanced statistical methods, deep learning, and other complex analytical techniques (modeling with R, Python, SQL, or similar tools).
- Business acumen: understanding of the business context and the ability to align data science initiatives with organizational goals.
- Communication skills: strong communication skills in English to explain complex concepts to non-technical stakeholders.
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