You will lead data science initiatives, building and deploying machine learning models to drive business outcomes. You own the full lifecycle from data preprocessing to model monitoring in cloud environments.
Responsibilities
- Collect, clean, and preprocess data from diverse sources to ensure quality for analysis.
- Develop, test, and deploy predictive and classification models using Python, PyTorch, or TensorFlow.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Communicate technical findings to stakeholders through clear visualizations, reports, and presentations.
- Collaborate with cross-functional teams to implement data-driven solutions and manage project lifecycles.
Required Skills
- 5+ years of experience in data science or machine learning roles.
- Strong proficiency in Python and R for data science and machine learning libraries.
- Experience with deep learning frameworks such as PyTorch or TensorFlow.
- Proficiency in SQL and NoSQL database technologies.
- Experience with cloud computing platforms (AWS, Azure, or GCP).
- Knowledge of machine learning deployment and monitoring methodologies.
- Understanding of LLMs and their underlying mechanics.
- Experience with data visualization tools for exploratory analysis.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.