Posted:17 hours ago|
Platform:
Work from Office
Full Time
Description :
About the Role :We are seeking a results-driven Data Scientist to design, build, and deploy predictive models that solve complex business problems, focusing on customer behavior and personalization.This role requires a strong blend of theoretical knowledge in Machine Learning and practical experience in deploying models in a production environment.Key Responsibilities :
- Identify business problems that can be solved using Machine Learning and statistical modeling.- Design and implement end-to-end ML solutions, from data extraction and feature engineering to model training and deployment.- Develop, train, and evaluate predictive models (e.g., regression, classification, clustering, deep learning) using Python libraries (Scikit-learn, TensorFlow/PyTorch).- Collaborate with Data Engineers to ensure robust data pipelines and production readiness of models.- Conduct A/B testing on deployed models and iterate based on performance metrics.- Clearly communicate complex results and insights to technical and non-technical stakeholders.Required Skills & Qualifications :
- 4+ years of experience as a Data Scientist or Machine Learning Engineer.- Masters degree or higher in a quantitative field (Computer Science, Statistics, Mathematics).- Expert proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn).- Experience with SQL and distributed computing frameworks (Spark/Hadoop).- Proven track record of deploying ML models into a production environment (MLOps experience is a plus).- Solid understanding of statistical analysis and experimental design
Zorba Consulting
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