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Head of Data Science

Head of Data Science

ConfidentialIndia
30+ days ago
Job description

Position : Head of Data Science (AI / ML Techno-Managerial Leader)

Experience : 13–18 years (minimum 4 years in AI / ML leadership roles)

We are seeking an experienced AI / ML leader to drive enterprise-wide data science initiatives, lead a high-performing team, and develop innovative, scalable AI / ML solutions. This techno-managerial role combines strategic thinking, hands-on expertise, and leadership to unlock business value through data.

Key Qualifications :

  • 13–18 years of relevant experience in data science and AI / ML.
  • At least 4 years in leadership roles within AI / ML or advanced analytics.
  • Proven ability to design and deploy end-to-end AI / ML solutions using big data technologies.
  • Strong background in machine learning, statistical modeling, and data mining.
  • Proficient in Python, R, or similar programming languages.
  • Experience with big data tools (e.g., Spark, Hadoop).
  • Expertise in AI / ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of cloud platforms (AWS, GCP, OpenShift) and MLOps pipelines.
  • Experience in NLP and computer vision applications.
  • Proficiency in data visualization tools (e.g., Power BI).

Key Responsibilities :

  • Define and execute the organization's AI / ML and data science strategy.
  • Identify and drive high-impact AI / ML opportunities to improve decision-making and business outcomes.
  • Lead the design, development, and deployment of advanced analytics solutions, including predictive models and recommendation systems.
  • Apply cutting-edge techniques such as deep learning, NLP, and computer vision to solve complex business problems.
  • Ensure scalable model development and deployment using modern MLOps practices.
  • Build and mentor a cross-functional team of data scientists, ML engineers, and analysts.
  • Collaborate with product, technology, and business teams to align data initiatives with organizational goals.
  • Communicate complex analytical insights to both technical and non-technical stakeholders.
  • Ensure high-quality, on-time delivery of data science projects.
  • Promote best practices in data governance, model explainability, and AI adoption.
  • Oversee the development of robust data pipelines and infrastructure to support AI initiatives.
  • Define and monitor KPIs to measure the effectiveness and impact of AI / ML solutions.
  • Continuously evaluate and enhance existing models to adapt to changing business needs.
  • Skills Required

    Machine Learning, Hadoop, Power Bi, Data Mining, Big Data Technologies, AI ML, Tensorflow, Nlp, MLops, Gcp, Pytorch, Computer Vision, Openshift, Spark, Statistical Modeling, Python, Aws

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