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Lead D&T Data Scientist

General Mills · Mumbai, India

About this role

General Mills is seeking a Lead Data Scientist to join their Digital and Technology team in Mumbai. This role is responsible for shaping AI and machine learning strategies, managing model development projects, and mentoring a team of data scientists. The position requires a strategic mindset to align AI initiatives with business objectives and a hands-on approach to technical implementation.

Key Responsibilities:

  • Develop and implement AI/ML strategies and evaluate new tools to enhance capabilities.
  • Partner with business stakeholders to deliver intelligent solutions and insights.
  • Lead the end-to-end development life cycle of machine learning models from ideation to production deployment.
  • Collaborate with ML and systems engineers to ensure scalable, optimized model deployment and proactive post-production performance management.
  • Mentor and guide data scientists, fostering a collaborative and innovative team environment.
  • Conduct explorations for new AI techniques, platforms, and tools.

Required Qualifications

  • Overall 12+ years of industry experience, with at least 8 years specifically in providing data science solutions.
  • Bachelor’s degree in engineering or technology.
  • Proven expertise in supervised ML algorithms, optimization, and performance tuning.
  • Technical proficiency in Google Cloud Platform (Vertex AI, BQ, Composer, Cloud Storage), Python, SQL, Spark, and Tensorflow.
  • Experience with MLOps, containerization, data lineage, and visualization.
  • Strong stakeholder management and storytelling skills.
  • Experience working with Agile development methodology.

Preferred Qualifications

  • Prior experience in the CPG or Retail industry.
  • Publications or contributions to the data science and AI community.
  • Relevant certifications in AI or machine learning.

Skills for this role

Google Cloud PlatformVertex AIPythonSQLSparkTensorflowMLOpsContainerizationData LineageVisualizationAgileSupervised ML algorithmsAI solutions architectureBigQueryComposerCloud StorageDeep Learning

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