Data Science - (Lead/ Analyst) 3.5 - 7yrs

Summary:
As a Data Science Lead/Analyst, you will play a pivotal role in driving data-driven innovation within a globally recognized creative network. You will lead the development and deployment of advanced deep learning solutions—particularly for time series data—enabling transformative insights for iconic national and international brands. Leveraging cutting-edge technologies and scalable cloud infrastructure, you’ll bridge the gap between data science and business impact, turning complex datasets into actionable strategies. This role offers a unique opportunity to shape the future of brand communication through data, while growing your expertise in a dynamic, high-performance environment that values innovation, inclusivity, and global impact.

Location: Coimbatore / Gurgaon / Mumbai / Pune / Bangalore | In-Person role in Kolkata shortly
Responsibilities:

• Design, develop, and deploy deep learning models tailored for time series forecasting and analysis.
  
• Lead end-to-end model lifecycle management—from data preprocessing and experimentation to production deployment and monitoring.
  
• Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.
  
• Optimize model performance using distributed computing frameworks and cloud platforms (AWS preferred).
  
• Work with large-scale datasets using tools such as EMR and Snowflake to ensure efficient data processing and analysis.
  
• Maintain and enhance ML pipelines, ensuring reliability, scalability, and reproducibility.
  
• Communicate technical findings and strategic recommendations clearly to both technical and non-technical stakeholders.
  
• Stay ahead of emerging trends in machine learning and data science to drive continuous innovation.
  

RequirementsRequirements:

• 3.5 to 7 years of hands-on experience in data science or machine learning roles.
  
• Demonstrable experience in building and deploying deep learning models for time series data.
  
• Proficient in Python and SQL; experience with ML frameworks such as TensorFlow/Keras, PyTorch/NeuralForecast, or aeon.
  
• Solid experience with cloud platforms (AWS) and distributed computing environments.
  
• Proven track record working with large datasets using EMR and/or Snowflake.
  
• Strong understanding of model deployment practices and production-grade ML systems.
  
• Excellent communication and stakeholder management skills, with the ability to influence across levels.
  
• Bachelor’s degree in Computer Science & Engineering or a related technical field.