Eucloid - Data Scientist - Machine Learning

Job Description :- Analyze structured and unstructured datasets to identify actionable insights, patterns, and trends.- Develop and deploy machine learning models and statistical solutions to address business challenges.- Apply statistical techniques including hypothesis testing, probability modeling, and model evaluation metrics such as ROC-AUC, Precision/Recall, RMSE, etc.- Collaborate with data engineers to design scalable data pipelines and data architectures.- Translate complex analytical findings into clear, actionable recommendations for business stakeholders.- Contribute to building data-driven tools, analytical solutions, and dashboards for clients.- Support the deployment, monitoring, and performance tracking of machine learning models in production environments.- Maintain documentation of methodologies, experiments, models, and results to ensure reproducibility and governance.- Work with version control systems such as Git and ML lifecycle tools to manage model development and deployment workflows.- Stay updated on emerging trends in AI/ML and apply relevant techniques and best practices to projects.Qualifications :Academic Background :- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.Technical Expertise :- 3 - 5 years of hands-on experience in Data Science, Machine Learning, or Advanced Analytics.- Strong SQL skills for data extraction, transformation, analysis, and manipulation.- Solid understanding of statistics, probability, and model evaluation techniques.- Experience with machine learning algorithms including regression, classification, clustering, and tree-based models.- Experience developing and deploying production-level machine learning solutions.- Familiarity with ML frameworks and libraries such as Scikit-learn or TensorFlow.- Familiarity with MLOps practices and ML lifecycle management would be preferred.- Experience with data visualization tools such as Tableau, Power BI, or Looker.- Experience working with cloud-based data platforms such as Databricks would be preferred.- Basic understanding of deploying models and working with large-scale data platforms.- Experience with Git or similar version control systems.Skills :- Strong problem-solving and analytical mindset with the ability to work effectively in agile environments.- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.- Strong collaborative skills with experience working across cross-functional teams.- Ability to translate business requirements into analytical solutions and actionable insights.- Experience working in production environments with exposure to monitoring, maintaining, and improving deployed machine learning models. (ref:hirist.tech)