Lead Data Analyst
1 week ago
We are seeking a highly experienced and skilled Senior Data Scientist to lead the end-to-end machine learning model development process, from problem definition to deployment. The successful candidate will be responsible for building and optimizing advanced machine learning models, collaborating with cross-functional teams, and mentoring junior data scientists.
The ideal candidate will have 8+ years of experience in data science, with a minimum of 3+ years of comprehensive experience in the end-to-end model development lifecycle. Strong proficiency in Python or R for building scalable and modular machine learning models is required.
Main Responsibilities:
- Lead the end-to-end machine learning model development process, from problem definition, data exploration, and feature engineering, to model training, validation, and deployment.
- Build and optimize advanced machine learning models, including both regression and classification techniques, to tackle business challenges and enhance decision-making processes.
- Deploy models to production and continuously monitor performance.
Requirements:
- 8+ years of experience in data science, with a minimum of 3+ years of comprehensive experience in the end-to-end model development lifecycle.
- Strong proficiency in Python or R for building scalable and modular machine learning models.
- Experience writing high-quality code for end-to-end project execution.
- Experience with Machine Learning Frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
- Solid understanding of a wide range of data science methodologies and statistical techniques.
- Excellent problem-solving abilities and ability to translate complex datasets into actionable insights that drive decision-making.
Estimated Salary Range: $120,000 - $180,000 per year.
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