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Principal Data Scientist (ML & M2M Analytics)

💰 Salary: 45.0 - 75.0 LPA

Key Skills:
Machine Learning Data Mining Hadoop MapReduce NoSQL M2M Analytics Mathematical Optimization R Matlab Distributed Systems

📍 Location: Bangalore (Novel Tech Park, 46/4, GB Palya, Hosur Road)

Industry: IT

Job Type: Full Time

Experience: from 10 years

Join Continues Intelligence Lab as a Principal Data Scientist to drive the architecture of in-house IP and engineering analytics solutions. We are looking for a recognized expert with 10+ years of experience to mentor junior staff and contribute to our global patent portfolio.

Roles & Responsibilities:
  • Drive architecture and design of in-house IP and customer solutions in engineering analytics.
  • Analyze large data sets to develop custom models and algorithms for M2M applications.
  • Build learning systems to analyze continuous data flows and offline data.
  • Mentor junior staff and conduct rigorous design, code, and test reviews.
  • Contribute to the company IP portfolio through patent disclosures, whitepapers, and blogs.
Requirements:
  • 10+ years of experience in machine learning, data mining, and mathematical optimization.
  • PhD or Masters in Computer Science, Engineering, or Mathematics.
  • Expert level knowledge in Hadoop, Mahout, and MapReduce frameworks.
  • Strong proficiency in NoSQL (HBase, CouchDB) and Relational databases (PostgreSQL, Oracle).
  • Experience with statistical packages like R, Matlab, or SAS.
Perks & Benefits:
  • Opportunity to lead high-impact industrial analytics projects.
  • Collaborative environment focused on intellectual property and innovation.
  • Global exposure with offices in India, Middle East, and Asia-Pacific.
Additional Information:
  • Immediate or short notice period joiners are preferred.
  • Background in predictive diagnostics for engineering applications is strongly desired.

Company Name: Continues Intelligence Lab

Website: continuesintelligence.com

👤 Contact Person: HR Department

📞 Phone / WhatsApp: +916362128590

📩 Email for Applications: [email protected]

PIN Code: 560068

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