Senior Associate - Data Scientist
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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement large scale, high impact analytical and data science products using scientific methods and algorithms.
Build metaheuristic and multi-level forecasting algorithms to derive optimal insights and predict user trends.
Own end-to-end deployment of data science solutions utilizing machine learning, deep learning, and statistical methodologies.
Minimum Requirements
5+ years of total work experience; 7+ years preferred, with at least 4 years relevant to data science.
Proficiency in Python and SQL, and experience with machine learning algorithms (Decision Trees, SVM, GBMs, Regression).
Hands-on experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch; familiarity with Databricks/Spark, Snowflake, MLflow, and AWS SageMaker or equivalent deployment platforms.
University degree (Bachelor's) required.
Ideal Candidate Profile
Experienced in developing and deploying advanced machine learning and deep learning models at scale in production environments.
Strong knowledge of data engineering and visualization tools including Databricks, Spark, Snowflake, MLflow, AWS SageMaker, and Tableau.
Demonstrated expertise in optimization, user profiling, pattern detection, recommender systems, and experience with newer trends like large language models and prompt engineering is a plus.