Senior Data Scientist - Machine Learning

Your responsibilities will include selecting features, building, and optimizing classifiers using machine learning techniques, conducting hypothesis testing, and developing predictive models. You will collaborate with cross-functional teams to integrate AI models into business solutions, conduct research to improve AI models and algorithms, and stay updated with the latest AI/ML technologies and trends. Additionally, you will implement and deploy AI models using cloud AI services while ensuring the quality and scalability of AI solutions.

To qualify for this role, you should have at least 10 years of experience in Predictive Analytics and Data Mining, with hands-on experience in various areas such as linear regression, classification techniques, logistic regression, unsupervised learning techniques, feature reduction methods, and optimization methods. You must be proficient in working with R/Python, T-SQL, and graph-based models, with hands-on development experience in Python. Understanding of Azure Machine Learning and other Azure AI tools is essential, along with proficiency in data modeling, design, SQL development, and deploying machine learning models for key use cases.

Preferred skills include exposure to machine learning libraries like Scikit-learn, TensorFlow, or PyTorch, leveraging Azure Machine Learning for managing data pipelines, experiments, and deployments, and implementing end-to-end AI solutions using Azure AI services. Certification in Microsoft Azure AI relative to Azure Machine Learning, expert database knowledge in SQL, and proficiency in Azure Data Services are also advantageous.

You should possess strong problem-solving skills, the ability to work independently and as part of a team, excellent communication skills to convey complex technical concepts to non-technical stakeholders, and a solid understanding of statistical analysis and machine learning algorithms. Your role will involve working with large-scale datasets, ensuring efficiency and scalability in data processing, collaborating with stakeholders to design data science solutions, and presenting analytical findings and business insights to project managers and senior leadership. Keeping abreast of new statistical and machine learning techniques is crucial to improve predictive performance.,