
Data Science Architect
6 days ago
ROLES & RESPONSIBILITIES
**Technical Leadership**:
- Lead the design, development, and deployment of **machine learning and AI models** in real-world environments.
- Drive innovation using **supervised, unsupervised, and deep learning** algorithms to solve business problems.
- Provide technical direction and hands-on support for **Python-based ML development**, model evaluation, and data pipelines.
**Team & Project Management**:
- Manage a team of data scientists, analysts, and ML engineers—mentoring, guiding, and reviewing project progress.
- Define project scope, timelines, and deliverables aligned with business objectives.
- Ensure projects are delivered on time, within scope, and with high quality using **Agile/Scrum** methodologies.
**Business Collaboration**:
- Act as the primary point of contact between data science teams and business/product stakeholders.
- Translate business challenges into analytical problems and actionable insights.
- Present insights and technical concepts to executive leadership in a clear, strategic manner.
**Strategic Planning**:
- Develop the data science roadmap in alignment with broader organizational goals.
- Identify opportunities for **AI/ML adoption**, automation, and optimization across business processes.
- Evaluate new tools, platforms, and partnerships that can enhance the data science capability.
EXPERIENCE
12-14 Years
SKILLS
Primary Skill: Data Science
Sub Skill(s): Data Science
Additional Skill(s): Python, Data Modeling, AI/ML Project Management, Data Science
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