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

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 solutionsparticularly for time series dataenabling transformative insights for iconic national and international brands. Leveraging cutting -edge technologies and scalable cloud infrastructure, youll bridge the gap between data science and business impact, turning complex datasets into actionable strategies. This role offers a unique prospect 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 managementfrom 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. - Bachelors degree in Computer Science & Engineering or a related technical field. 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 solutionsparticularly for time series dataenabling transformative insights for iconic national and international brands. Leveraging cutting -edge technologies and scalable cloud infrastructure, youll bridge the gap between data science and business impact, turning complex datasets into actionable strategies. This role offers a unique prospect 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 managementfrom 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 d