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Neoware Technology Solutions
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Lead Data Scientist - Neoware Technology Solutions Private Limited

Lead Data Scientist - Neoware Technology Solutions Private Limited

Neoware Technology Solutions

12 - 15 years

|

25 - 30 Lacs

Posted:2 hours ago| Platform:

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Skills Required

stakeholder engagement gcp machine learning hypothesis testing stakeholder management solution delivery forecasting monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead Data Scientist - Neoware Technology Solutions Private Limited Lead Data Scientist

Requirements

8 12 years of experience in Data Science/AI, with at least 3 4 years leading ML/GenAI solution delivery
Strong foundation in Python, ML/AI frameworks, cloud platforms (AWS, Azure, GCP), and LLM-based architectures with vector databases and RAG pipelines
Strong understanding of BI tools, actionable insights, hypothesis testing, business recommendations
Proven track record of taking solutions from design deployment adoption
Experience in estimating infra requirements and cost of ownership
Education: Degree in Statistics, Mathematics, Economics, Computer Science, AI/ML, Data Science, or any equivalent quantitative field
A go-getter, ambitious yet practical leader with excellent problem-solving, communication, and stakeholder management skills

Responsibilities

Blueprint & Architecture: Translate business needs into logical workflows, data flows, and technical architectures
Solution Delivery: Build and deploy GenAI capabilities (document intelligence, semantic search, summarization, conversational Q&A) and ML solutions (Linear and non-linear forecasting, classification, clustering, recommendation engines, anomaly detection, model accuracy, explainability, traceability etc.)
Deployment & Ops: Implement MLOps/GenAIOps practices CI/CD, monitoring, retraining, and governance
Cost & Ownership: Prepare Bill of Materials, infra sizing, and cost of ownership models for client and internal deployments
Team Leadership: Mentor and guide data scientists/engineers to deliver high-quality, production-ready solutions
Stakeholder Engagement: Communicate solutions clearly, align with client priorities, and drive adoption

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