Data Science Architect
1 week ago
Job Summary:
We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks.
Key Responsibilities:
- Design and implement scalable data science architectures to support advanced analytics, AI, and ML models.
- Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment.
- Collaborate with engineering, product, and business teams to define data strategies and align them with business goals.
- Provide thought leadership on best practices, emerging technologies, and AI/ML trends.
- Optimize and scale AI/ML models for real-time and batch processing use cases.
- Ensure compliance with data governance, security, and regulatory standards.
- Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency.
Required Skills and Qualifications:
- Strong programming skills in Python.
- Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).
- Knowledge of MLOps, CI/CD, and Model Deployment.
- Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.).
- Excellent problem-solving and analytical skills.
- Strong communication and stakeholder management abilities.
- Ability to lead and mentor teams.
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