Data Scientist - Machine Learning

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