The Senior Data Science Engineer at Dentsu ( will play a key role in architecting and implementing scalable, production-ready data science solutions that power our digital identity resolution and personalization capabilities across Dentsu platforms. You will collaborate closely with product managers, data engineers, and identity specialists to design advanced machine learning pipelines, optimize model performance, and ensure seamless deployment within cloud-native environments.
We are specifically looking for an expert in deep learning for time series data .
Experience - 5-10 years
Location : Bengaluru, Mumbai, Pune, Coimbatore
Key Responsibilities
- Develop and implement deep learning frameworks for time series modeling.
- Partner with identity domain experts to transform heuristic logic into robust algorithmic frameworks.
- Clearly articulate trade-offs in model interpretability, generalization, and operational complexity. Demonstrate where learned representations outperform heuristic methods—particularly in handling edge cases, reducing false positives, and adapting to evolving patterns.
- Architect and implement end-to-end machine learning solutions for digital identity resolution.
- Collaborate with engineering teams to ensure model scalability, reliability, and performance in production.
- Work closely with product and operations teams to define success metrics, evaluate model impact, and support ongoing monitoring.
Qualifications
5+ years of experience in data science or machine learning.Proven expertise in developing deep learning–based time series solutions.Experience with any Time Series Forecasting (Classical Statistical Models)- ARMA, ARIMAX, AR, SARIMA, SARIMAX, ARIMA modelsStrong programming skills in Python and SQLExperience with cloud platforms (preferably AWS ) and distributed computing frameworks.Hands-on experience working with large datasets using EMR and / or Snowflake .Strong track record of building and deploying deep learning models in production environments.Excellent communication and stakeholder management skills.Bachelor’s degree in Computer Science or Engineering.Preferred Qualifications
Experience using Snowflake Cortex .Familiarity with MLOps practices and tools such as MLflow , SageMaker , and Airflow .