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(ref : hirist.tech)