Data Science Architect (Standard)
- Infogain
- 12 - 14 years
- Noida, Gurugram
- 8 months ago
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Job Description
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.
- 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.
- 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.
- 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.
- 12-14 Years
- Primary Skill: Data Science
- Sub Skill(s): Data Science
- Additional Skill(s): Python, Data Modeling, AI/ML Project Management, Data Science
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: InfogainLocation(s): Noida, Gurugram+ View Contact
Keyskills: Executive leadership Automation data science Data modeling Project management Analytical Machine learning Technical leadership Strategic planning Python
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Infogain
A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.
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