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Job Description

Data Scientist

Job Code : 13006
Experience : 5-8 Years
Location : Hyderabad

• We are looking for Data Scientist with expertise in AI/ML, NLP, Deep Learning, RAG, GEN-AI.

Responsibilities
• Mine and analyze data from company databases to drive optimization and improvement for product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Transforming data science prototypes and applying appropriate algorithms and tools. • Develop custom ML and non-ML models and algorithms to apply to data sets. • Define the evaluation approach of models  Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes.  Keeping abreast of developments in corresponding domains
Requirements
• Master degree from Computer science, Mathematics, Statistics and other relative disciplines • Experience using statistical computer languages (Python, R, etc.) to manipulate data and draw insights from large data sets. • Knowledge of a variety of machine learning techniques (clustering, decision trees, boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks. • Knowledge of popular ML and non-ML libraries: Tensorflow, Torch, Sklearn, Scipy, Xgboost,… • Knowledge of popular cloud infrastructure: Google Cloud, AWS, Microsoft Azure • Excellent written and verbal communication skills for coordinating across teams. • Experience in code management using Git Secondary Skills • Experience in Ecommerce or Advertising verticals is a plus • Experience on NLP, Time Series Forecasting, Computer vision, and other relative domains is a plus • Experience on popular NLP and Computer vision libraries is a plus: Spacy, NLTK, OpenCV • Experience on parallel computing and GPU acceleration is a plus • Experience on LLM’s utilization and fine tuning, GEN AI solutioning along with RAG is a must
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