Key skills
AWSKerasPythonPyTorchScikit-LearnSparkSQLTableauTensorflowMachine LearningDeep LearningLLMTensorFlowscikit-learnXGBoostMLflowAnalyticsSnowflakeDatabricksSageMaker
About this role
Role Overview
- Developing large scale & high impact analytical / data science products
- Understand & derive insights from structured & unstructured data
- Build metaheuristic algorithms to derive optimal data insights
- Multi level forecasting algorithms to predict user trends
- Responsible for implementation of end to end data science products
- Extensive knowledge & experience of Data & Machine Learning Algorithms
- Hands on experience on techniques such as user profiling, optimization, pattern mining / detection, classification / regression modelling, recommender systems & deep learning models etc.
Requirements
- 5+ Years Required, 7+ Years Preferred
- Python and SQL proficiency
- Machine learning (Decision Trees, SVM, GBMs, regression)
- Deep learning frameworks (TensorFlow, Keras, PyTorch)
- Libraries: scikit-learn, XGBoost
- Databricks/Spark and Snowflake experience
- MLflow
- AWS SageMaker or similar deployment platforms
- Tableau for visualization
- Advance analytics acumen + LLM knowledge good to have
- Prompt and context engineering
- Business Acumen, Data Preprocessing, Data Science, Innovation, Machine Learning, Market/Industry Dynamics, Predictive Modeling, Programming, Statistics
Tech Stack
- AWS
- Keras
- Python
- PyTorch
- Scikit-Learn
- Spark
- SQL
- Tableau
- Tensorflow
Benefits
- Accessibility support for those who need assistance with the online application process