TalentAQ

TalentAQ

Group Head - Data Scientist

Data Science•Full Time•8-15 years•Mumbai, Maharashtra•

Required Skills
10 skills

predictive modeling
machine learning
NLP
SVM
Random Forest
XGBoost
Neural Networks
MLOps
Agile SCRUM
cloud migration

Job Description

<h3>Overview</h3><p>We are seeking a highly experienced and accomplished Group Head - Data Scientist to lead advanced analytics initiatives and drive innovation. The ideal candidate will have a strong background in predictive modeling, machine learning, NLP, and end-to-end data science pipelines. This role requires a leader who can deliver scalable, business-impacting solutions.</p><h3>Key Responsibilities</h3><ul><li>Lead and manage a team of data scientists to develop and implement advanced analytics solutions.</li><li>Design and implement machine learning models and algorithms to solve complex business problems.</li><li>Develop and maintain end-to-end data science pipelines, ensuring data quality and efficiency.</li><li>Collaborate with cross-functional teams to identify opportunities for data-driven innovation.</li><li>Provide technical guidance and mentorship to junior data scientists.</li></ul><h3>Required Skills</h3><ul><li>Expertise in predictive modeling, machine learning, deep learning, and NLP.</li><li>Proficiency in SVM, Random Forest, XGBoost, and Neural Networks.</li><li>Experience with optimization techniques and simulation methods.</li><li>Familiarity with MLOps, Agile SCRUM, and cloud migration.</li></ul>

Overview

We are seeking a highly experienced and accomplished Group Head - Data Scientist to lead advanced analytics initiatives and drive innovation. The ideal candidate will have a strong background in predictive modeling, machine learning, NLP, and end-to-end data science pipelines. This role requires a leader who can deliver scalable, business-impacting solutions.

Key Responsibilities

  • Lead and manage a team of data scientists to develop and implement advanced analytics solutions.
  • Design and implement machine learning models and algorithms to solve complex business problems.
  • Develop and maintain end-to-end data science pipelines, ensuring data quality and efficiency.
  • Collaborate with cross-functional teams to identify opportunities for data-driven innovation.
  • Provide technical guidance and mentorship to junior data scientists.

Required Skills

  • Expertise in predictive modeling, machine learning, deep learning, and NLP.
  • Proficiency in SVM, Random Forest, XGBoost, and Neural Networks.
  • Experience with optimization techniques and simulation methods.
  • Familiarity with MLOps, Agile SCRUM, and cloud migration.

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