Data Science

2 days ago

Kolkata, West Bengal, India 2coms Full time ₹ 5,00,000 - ₹ 7,00,000 per year

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. Requirements Requirements: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.

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