Lead Data Scientist

3 days ago

Ahmedabad, India Talent Kettle Full time

Position Summary

As a Lead Data Scientist, you will lead a team of data scientists, machine learning engineers, and big data specialists to design, develop, and deploy data-driven solutions. You will be responsible for identifying business opportunities, translating them into data strategies, and driving measurable outcomes. This role demands strong leadership, deep technical expertise, and a passion for continuous innovation.

Key Responsibilities

  • Manage a team of data scientists, machine learning engineers, and big data specialists.
  • Lead data mining, data collection, and cleansing procedures.
  • Ensure high standards of data quality and integrity across all projects.
  • Interpret complex data sets to identify patterns, trends, and actionable insights.
  • Conceive, plan, and prioritize data science initiatives aligned with business goals.
  • Develop and deploy scalable analytics systems and predictive models.
  • Test and validate data-driven products for performance and reliability.
  • Create compelling visualizations and comprehensive reports for stakeholders.
  • Experiment with emerging models and machine learning techniques for innovation.

Qualifications & Experience

  • 6-8 years of working experience in Image Processing using deep learning frameworks such as OpenCV, PyTorch, TensorFlow, Theano, and Caffe.
  • Experience in Text Analytics using NLP tools and techniques on unstructured data.
  • Proven track record in building, deploying, and scaling statistical and deep learning models.
  • Experience with large-scale data (structured and unstructured), data management, parallel computing, and distributed systems.
  • Ability to thrive with minimal supervision in a dynamic, fast-paced environment.
  • Capability to understand diverse business processes and quickly contextualize data requirements.
  • Strong problem-solving skills to translate business problems into actionable data strategies.
  • Excellent communication skills (verbal and written) with a learning and innovation mindset.
  • Strong passion for leveraging AI/ML to solve business problems and a proactive approach to experimentation.
  • Hands-on experience with exploratory data analysis, machine learning, and advanced analytics methods.

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