Senior Associate - Data Scientist
Tiaa Search8–10 yrsPuneOn-siteDirect career pageEst. 30–55 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and implement large-scale data science products integrating metaheuristic and multi-level forecasting algorithms to predict user trends and derive insights from structured and unstructured data.
- Build and optimize machine learning and deep learning models including decision trees, SVM, GBMs, CNN, RNN, LSTM for pattern mining, classification, regression, and recommender systems.
- Manage end-to-end deployment of data science solutions using cloud and visualization tools such as AWS SageMaker, MLflow, Databricks/Spark, Snowflake, and Tableau.
Minimum Requirements
- 5+ years of total work experience, with 4+ years relevant to data science, ideally 7+ years preferred.
- Proficiency in Python and SQL is mandatory; experience with machine learning algorithms (Decision Trees, SVM, GBMs, regression) and deep learning frameworks (TensorFlow, Keras, PyTorch).
- Experience with cloud and big data platforms including Databricks/Spark, Snowflake, MLflow, and AWS SageMaker or equivalent deployment platforms.
- University degree is preferred; specific degree not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building and deploying complex, scalable machine learning and deep learning models for real-world data science products in a production environment.
- Hands-on experience with advanced analytics, user profiling, optimization, and knowledge of large language models or prompt engineering is a plus.
- Comfortable working with large datasets and leveraging a combination of cloud platforms, data pipelines, and visualization tools to deliver actionable insights.